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Dissertations / Theses on the topic 'Pulmonary nodules'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Wang, Yang. "Dynamic CT perfusion and 3D features in characterizing small pulmonary nodules." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1779835401&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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2

Dilger, Samantha Kirsten Nowik. "The use of surrounding lung parenchyma for the automated classification of pulmonary nodules." Thesis, University of Iowa, 2013. https://ir.uiowa.edu/etd/2475.

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Lung cancer is the leading cause of cancer-related death for both men and women in the United States, despite being the second-most frequent cancer diagnosis for both sexes. This high mortality rate is due to the majority of cases being diagnosed after the primary lung cancer has metastasized. In an effort to reduce mortality associated with lung cancer by diagnosing lung cancer at an earlier stage, screening of high-risk populations has been employed. One screening tool, computed tomography (CT), has been shown to reduce

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3

Robinson, John. "Factors influencing pulmonary nodule detection on a postero-anterior chest radiograph." Thesis, The University of Sydney, 2020. https://hdl.handle.net/2123/22603.

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Lung cancer deaths are predicted to double by 2035, and with 60% of these deaths occurring in the Western Pacific and South East Asia regions, chest radiography remains an important modality in the detection of non-small cell lung cancers (NSCLC). The interplay of visual perception and cognition on the detection of a lung nodule is studied and demonstrates that it is moderated by the radiologists’ specialisation. The thesis focuses on three studies investigating: priming action via a word association (nodule) on the radiologists’ cognition and visual perception; the influence of radiologists’

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4

Kubo, Takeshi. "Efficiency and reproducibility in pulmonary nodule detection in simulated dose reduction lung CT images." Kyoto University, 2019. http://hdl.handle.net/2433/243276.

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5

Rafael-Palou, Xavier. "Detection, quantification, malignancy prediction and growth forecasting of pulmonary nodules using deep learning in follow-up CT scans." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/672964.

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Nowadays, lung cancer assessment is a complex and tedious task mainly per- formed by radiological visual inspection of suspicious pulmonary nodules, using computed tomography (CT) scan images taken to patients over time. Several computational tools relying on conventional artificial intelligence and computer vision algorithms have been proposed for supporting lung cancer de- tection and classification. These solutions mostly rely on the analysis of indi- vidual lung CT images of patients and on the use of hand-crafted image de- scriptors. Unfortunately, this makes them unable to cope

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6

Broyelle, Antoine. "Automated Pulmonary Nodule Detection on Computed Tomography Images with 3D Deep Convolutional Neural Network." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231930.

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Object detection on natural images has become a single-stage end-to-end process thanks to recent breakthroughs on deep neural networks. By contrast, automated pulmonary nodule detection is usually a three steps method: lung segmentation, generation of nodule candidates and false positive reduction. This project tackles the nodule detection problem with a single stage modelusing a deep neural network. Pulmonary nodules have unique shapes and characteristics which are not present outside of the lungs. We expect the model to capture these characteristics and to only focus on elements inside the l

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7

Almousa, Omamah H. "Image-guided video-assisted thoracoscopic surgery (VATS) excision of small peripheral pulmonary nodules (SPPN) in patients with previous extra-thoracic malignancies." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/55261.

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Objective: The purpose of this study is to determine the utility of preoperative CT-guided microcoil localization (CTML) followed by fluoroscopy guided VATS resection in the diagnosis and management of SPPN in patients with extra-thoracic malignancies. Methods: This study was a retrospective analysis of prospectively collected data between August 2003 and September 2013. Fifty patients underwent preoperative localization of undiagnosed SPPN using percutaneously placed CT-guided platinum microcoils (CTML). Coils were placed with the distal end deep to the nodule and the superficial end coiled

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8

Ambayi, Rudo. "The effect of reconstruction algorithms (iterative versus filtered backprojection) on the diagnosis of single pulmonary nodules using Thallium-201 and Technetium-99m MIBI SPECT." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50144.

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Thesis (MScMed)--Stellenbosch University, 2004.<br>Copy not signed by author.<br>ENGLISH ABSTRACT: This study involved 33 patients, 19 men and 14 women. The age range was wide (20-90 years) and median age was 57 years. These patients had a single pulmonary nodule (SPN) defined radiologically as a well defined, round or oval intrapulmonary lung lesion not associated with atelectasis or adenopathy on chest radiography or computed tomography. Patients were investigated with Tc-99m MIBI and TI-201 (25 patients) and with Tc-99m MIBI alone (8 patients). Single photon emission computed tomograp

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9

Niesterok, Christian. "Möglichkeiten und Grenzen von Projektionsradiographie und Computertomographie bei der Detektion pulmonaler Rundherde bei Hund und Katze." Doctoral thesis, Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-213973.

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Einleitung: Der frühzeitigen Detektion pulmonaler Rundherde kommt eine Schlüsselrolle bei neoplastischen Erkrankungen von Hund und Katze zu, indem sie maßgeblich Prognose und Behandlungsoptionen beeinflusst. Ziel unserer ersten Studie war, die aktuelle diagnostische Wertigkeit und mögliche Limitationen der klassischen Röntgenuntersuchung bei der Detektion pulmonaler Rundherde darzustellen. Unsere zweite Untersuchung beschäftigt sich mit dem Ziel der computerassistierten Detektion (CAD) und deren Einsatz in der Tiermedizin. Material und Methoden: Der Untersuchungszeitraum umfasste die Jahre 200

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10

Van, Tassel Lora. "Imaging Evaluation of the Solitary Pulmonary Nodule." Thesis, The University of Arizona, 2012. http://hdl.handle.net/10150/221418.

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A Thesis submitted to The University of Arizona College of Medicine - Phoenix in partial fulfillment of the requirements for the Degree of Doctor of Medicine.<br>An estimated 150,000 solitary pulmonary nodules (SPNs) are identified at chest radiography each year, making it important for physicians to understand how to characterize them and evaluate patients for potential malignancy. We performed an extensive literature search to identify risk factors, characteristics of SPNs, and available technologies used to identify and evaluate these nodules through a comprehensive literature search. Addit

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11

Cho, YouJin. "Evaluating the Role of Heterogenous Mechanical Forces on Lung Cancer Development and Screening." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1619135551701767.

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12

Dilger, Samantha Kirsten Nowik. "Pushing the boundaries: feature extraction from the lung improves pulmonary nodule classification." Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/3071.

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Lung cancer is the leading cause of cancer death in the United States. While low-dose computed tomography (CT) screening reduces lung cancer mortality by 20%, 97% of suspicious lesions are found to be benign upon further investigation. Computer-aided diagnosis (CAD) tools can improve the accuracy of CT screening, however, current CAD tools which focus on imaging characteristics of the nodule alone are challenged by the limited data captured in small, early identified nodules. We hypothesize a CAD tool that incorporates quantitative CT features from the surrounding lung parenchyma will improve

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13

DARBOIS, BLANC MARIE-PASCALE. "Synovialo-sarcome : a propos d'une localisation pulmonaire isolee et revue de la litterature." Lyon 1, 1994. http://www.theses.fr/1994LYO1M153.

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14

ISHIGAKI, TAKEO, MITSUHIKO HIROSE, KIYOKO NAKAMURA, MITSURU IKEDA, KENGO ITO, and NICOLAS MILLA. "FUNDAMENTAL AND CLINICAL EVALUATION OF CHEST COMPUTED TOMOGRAPHY IMAGING IN DETECTABILITY OF PULMONARY NODULE." Nagoya University School of Medicine, 1994. http://hdl.handle.net/2237/16074.

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15

Sousa, João Rodrigo Ferreira da Silva. "METODOLOGIA PARA DETECÇÃO AUTOMÁTICA DE NÓDULOS PULMONARES." Universidade Federal do Maranhão, 2007. http://tedebc.ufma.br:8080/jspui/handle/tede/524.

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Made available in DSpace on 2016-08-17T14:53:29Z (GMT). No. of bitstreams: 1 Joao Rodrigo Ferreira.pdf: 1547613 bytes, checksum: a9c7e73154b7e9a72733f9f2e20a55fe (MD5) Previous issue date: 2007-12-07<br>The lung cancer is a disorder with significant prevalence in several countries worldwide. The hard treatment and the fast progress of the disease increase the mortality rates. The main factor contributing to a successful treatment is an early diagnosis. However possible omissions in the scan analysis can lead to late diagnosis, compromising all the treatment. In order to present a computati

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16

LOUGNON, JEAN-PAUL. "Ganglions lymphatiques sous pleuraux : une piece de plus versee au dossier des opacites arrondies intrathoraciques peripheriques." Clermont-Ferrand 1, 1991. http://www.theses.fr/1991CLF13002.

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17

Pietrzyk, Mariusz W. "Spatial frequency analysis of the perceptual features involved in pulmonary nodule detection and recognition from posterior-anterior chest radiographs." Thesis, Lancaster University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556697.

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RATIONALE AND OBJECTIVES: Radiological error due to the incorrect interpretation of medical images still occurs in current practice, and continues to be reported both in laboratory and clinical experimental conditions. In general radiological practice error rates range from 3 - 5%. However, that scale reaches up to 30% for detection of some early pulmonary cancers. Computer-Aided Detection (CAD) algorithms have been proposed to support human observers in verifying their choices. Although CAD systems might help in certain situations, its general implementation in clinical practice is still cont

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18

Berzeg, Semin. "Drahtmarkierung der pulmonalen Rundherde." Doctoral thesis, Humboldt-Universität zu Berlin, Medizinische Fakultät - Universitätsklinikum Charité, 2006. http://dx.doi.org/10.18452/15427.

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In der Studie wurde die Drahtmarkierung als Operationshilfsmethode vor der VATSvideo- assistierten Thorakoskopie bei der Abklärung von solitären pulmonalen Rundherden untersucht. Mit dieser Methode konnte der Lungenherd exakt markiert und transthorakal fixiert werden. Intraoperativ wurde der am Draht hängende Herd mit dosierter Kraft nach außen gezogen, endoskopisch verifiziert und komplikationslos entfernt. Bei der Drahtmarkierung wurden drei verschiedene Drähte benutzt, der größte Teil der Markierungen wurde mit dem Somatex-Lokalisationsset 18 G (84) Spiraldraht durchgeführt. Bei 3 Patienten

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19

Alzahouri, Kazem. "Pratiques diagnostiques pour les nodules pulmonaires isolés et le cancer du poumon non à petites cellules : caractérisation, déterminants et évaluations médico-économiques de l'introduction de la tomographie par émission de positon." Nancy 1, 2006. http://www.theses.fr/2006NAN11301.

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Nous avons étudié les pratiques diagnostiques en oncologie, broncho-pulmonaire, et les conséquences médico-économiques: de l'introduction de la Tomographie par Emission de positon (TEP) lors du diagnostic du nodule pulmonaire isolé NPI et du bilan d'extension médiastinale du cancer du poumon non à petites cellules (CPNPC). Dans le premier axe de recherche, une revue de la littérature jnternationale a permis de constat l'absence d'études dans lesquelles les auteurs auraient analysé les variations des pratiques diagnostiques et de bilan d'extension du CPNPC. Nous avons analysé les pratiques diag

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20

Fakih, Saif. "A learning approach to obtain efficient testing strategies in medical diagnosis." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000309.

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21

Lemonnier, Irawati. "Stratégies diagnostiques et qualité de vie en oncologie bronchopulmonaire - Programme d'évaluation de la TEP dans l'inter-région Grand-Est." Thesis, Nancy 1, 2011. http://www.theses.fr/2011NAN10001/document.

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Introduction : L'installation de caméras de Tomographie à Emission de Positons (TEP) a eu lieu en 2003 dans l'inter région Grand-Est de la France. Plusieurs études ont montré ses performances diagnostiques et ses bénéfices en évitant: des interventions de chirurgie exploratrice devenue inutile (thoracotomie aux séquelles douloureuses, laparotomie exploratrice), et certains examens complémentaires d'imagerie ou d'exploration fonctionnelle inutile. Objectifs : 1) évaluer le changement des stratégies diagnostiques du Nodule Pulmonaire Isolé (NPI) et du Cancer du Poumon Non à Petites Cellules (CPN

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22

Nascimento, Leonardo Barros. "CLASSIFICAÇÃO DE NÓDULOS PULMONARES EM MALIGNO E BENIGNO UTILIZANDO OS ÍNDICES DE DIVERSIDADE DE SHANNON E DE SIMPSON." Universidade Federal do Maranhão, 2012. http://tedebc.ufma.br:8080/jspui/handle/tede/485.

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Made available in DSpace on 2016-08-17T14:53:20Z (GMT). No. of bitstreams: 1 dissertacao Leonardo.pdf: 864322 bytes, checksum: 557c6817aff39c2f398ebe22a59ad5c6 (MD5) Previous issue date: 2012-04-20<br>FUNDAÇÃO DE AMPARO À PESQUISA E AO DESENVOLVIMENTO CIENTIFICO E TECNOLÓGICO DO MARANHÃO<br>Lung cancer is still the leading cause of cancer mortality worldwide, with one of the lowest survival rates after diagnosis. Therefore, early detection is important to increase the chances of curing the patient. The diagnosis is more accurate if the specialist has more information. In view of the above,

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23

Diniz, Pedro Henrique Bandeira. "ANÁLISE TEMPORAL DE NÓDULOS E MASSAS PULMONARES UTILIZANDO ÍNDICES DE SIMILARIDADE." Universidade Federal do Maranhão, 2014. http://tedebc.ufma.br:8080/jspui/handle/tede/508.

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Made available in DSpace on 2016-08-17T14:53:26Z (GMT). No. of bitstreams: 1 dissertacao Pedro Henique.pdf: 3622658 bytes, checksum: 95066b31ffa29d90dfade445121817be (MD5) Previous issue date: 2014-01-03<br>With the advent of imaging methods, the pulmonary nodule is becoming the most common manifestation of lung cancer and one of the most lethal of all cancers. Geometry (shape) and texture (tissue) measurements analyzed over time can be used to search the nodule malignancy. Among geometric measures commonly used, the nodule growth rate is one of the most accurate noninvasive methods to eva

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Santos, Alex Martins. "DETECÇÃO DE NÓDULOS PULMONARES PEQUENOS USANDO MODELO DE MISTURA GAUSSIANA E MATRIZ HESSIANA." Universidade Federal do Maranhão, 2011. http://tedebc.ufma.br:8080/jspui/handle/tede/473.

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Made available in DSpace on 2016-08-17T14:53:18Z (GMT). No. of bitstreams: 1 dissertacao Alex Martins Santos.pdf: 5806595 bytes, checksum: 431584590b26aa21a56d684cd9c7f282 (MD5) Previous issue date: 2011-08-19<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Lung cancer stands out by pointing the highest incidence and higher mortality rate of all other types of cancer. It has one of the lower survival rates of after diagnosis, which is mainly due to late detection and therefore delayed treatment. Computer-aided detection systems (CAD) are developed to assist the specialist

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SILVA, Cleriston Araújo da. "CARACTERIZAÇÃO DE NÓDULOS PULMONARES SOLITÁRIOS UTILIZANDO ÍNDICE DE SIMPSON E MÁQUINA DE VETORES DE SUPORTE." Universidade Federal do Maranhão, 2009. http://tedebc.ufma.br:8080/jspui/handle/tede/1841.

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Submitted by Maria Aparecida (cidazen@gmail.com) on 2017-08-18T14:02:37Z No. of bitstreams: 1 cleriston.pdf: 1605933 bytes, checksum: c1faa5f854c1a9debfbaa1affc5ab4ad (MD5)<br>Made available in DSpace on 2017-08-18T14:02:37Z (GMT). No. of bitstreams: 1 cleriston.pdf: 1605933 bytes, checksum: c1faa5f854c1a9debfbaa1affc5ab4ad (MD5) Previous issue date: 2009-02-12<br>The diagnosis of lung nodules has been constantly looked for by researchers as a way to minimize the high global mortality indices related to lung cancer. The usage of medical images, such as Computerized Tomography, has made possi

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Froz, Bruno Rodrigues. "CLASSIFICAÇÃO DE NÓDULOS PULMONARES UTILIZANDO VIDAS ARTIFICIAIS, MVS E MEDIDAS DIRECIONAIS DE TEXTURA." Universidade Federal do Maranhão, 2015. http://tedebc.ufma.br:8080/jspui/handle/tede/285.

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Made available in DSpace on 2016-08-17T14:52:36Z (GMT). No. of bitstreams: 1 dissertacao Bruno Rodrigues Froz.pdf: 1583465 bytes, checksum: f53ff1f85d91788fc7d52925b16f6794 (MD5) Previous issue date: 2015-02-02<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>The lung cancer is known for presenting the highest mortality rate and one of the lowest survival rate after diagnosis, which is mainly caused by the late detection and treatment. With the goal of assist the lung cancer specialists, computed aided diagnosis systems are developed to automate the detection and diagnos

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27

Netto, Stelmo Magalhães Barros. "SEGMENTAÇÃO AUTOMÁTICA DE NÓDULOS PULMONARES COM GROWING NEURAL GAS E MÁQUINA DE VETORES DE SUPORTE." Universidade Federal do Maranhão, 2010. http://tedebc.ufma.br:8080/jspui/handle/tede/431.

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Made available in DSpace on 2016-08-17T14:53:07Z (GMT). No. of bitstreams: 1 Stelmo Magalhaes Barros Netto.pdf: 2768924 bytes, checksum: bf6f24780a03adb4f2940b818c95f293 (MD5) Previous issue date: 2010-02-10<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>Lung cancer is still one of the most frequent types throughout the world. Its diagnosis is very difficult because its initial morphological characteristics are not well defined, and also because of its location in relation to the lung. It is usually detected late, fact that causes a large lethality rate. Facing these d

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28

Freund, Torsten. "Methodische und klinische Evaluation eines modernen Flachbettdetektors und des Dual-Energy-Verfahrens." Doctoral thesis, [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980108403.

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29

Piton, Nicolas. "Optimisation de la prise en charge diagnostique, pronostique et théranostique des carcinomes broncho-pulmonaires humains : des techniques d’imagerie in vivo à la biologie moléculaire. Ligation -dependent RT-PCR : a new specific and low-cost technique to detect ALK, ROS and RET rearrangements in lung adenocarcinoma A new assay for detection of theranostic gene translocations and MET exon 14 skipping in thoracic oncology. One-year perspective routine LD-RT-PCR in 413 newly diagnosed lung tumors STK11 mutations are associated with lower PDL1 expression in lung adenocarcinoma BRAF V600E mutation is not always present as expected ! A case report of lung and thyroid carcinomas A novel method for in vivo imaging of solitary lung nodules using navigational bronchoscopy and confocal laser microendoscopy." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMR119.

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Le carcinome pulmonaire est une affection grave et fréquente dont la prise en charge a été bouleversée ces dernières années, tant sur le plan diagnostique que pronostique ou « théranostique » avec l’avènement des « thérapies ciblées ». Ces dernières permettent une nette amélioration de la survie et du confort des patients éligibles, mais ne sont pas sans compliquer le travail médical, depuis le diagnostic de la maladie jusqu’au suivi régulier du patient, sans oublier le choix des traitements ou les problèmes techniques posés par la multiplication arborescente des altérations moléculaires à rec

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CHEN, JHENG-KAI, and 陳政愷. "Automatic Screening Pulmonary Nodules of LDCT." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/56s9an.

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碩士<br>南臺科技大學<br>電子工程系<br>105<br>Cancer is the first of top ten death causes in Taiwan, and lung cancer is the most serious cancer. LDCT (Low Dose Computed Tomography) is an effective examination technology contemporarily. However, finding the lesions heavily relies on medical physician’s judgements. This study develops a computer software that can automatically screens pulmonary nodules from LDCT. The program, developed with Matlab, filters the LDCT figures and calculates 12 parameters of each candidate parts. The parameters are area, perimeter, HU mean, standard deviation of HU, shape, entro

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31

Rocha, Joana Maria Neves da. "Segmentation of Pulmonary Nodules in CT images." Master's thesis, 2019. https://hdl.handle.net/10216/121816.

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Yan, Chong-Ren, and 嚴崇仁. "Automatic Detection for Pulmonary Nodules on Computed Tomograph Images." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/43873972047409903146.

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碩士<br>中華大學<br>資訊工程學系碩士班<br>90<br>In this thesis, we present new integrated methods to segment the lung CT images and to detect the nodules more efficiently and correctly. We employed series of image processing techniques including thersholding, morphology closing, and labeling to segment the lung area and obtain the region of interests (ROIs). We extract three main features, circularity, size of area, and mean brightness from ROIs and identify the nodules with pure fuzzy inference rules and neural fuzzy model. Twenty-nine clinical cases involving 583 images (512X512X8 bits) were tested in our

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NGUYEN, HOANG-MINH, and 阮黃明. "Risk Factors for Pulmonary Nodules on Low-Dose Lung CT Screening." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/wwvtg3.

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碩士<br>元培醫事科技大學<br>醫學影像暨放射技術系碩士班<br>107<br>Risk Factors for Pulmonary Nodules on Low-Dose Lung CT Screening ABSTRACT Purpose: The purpose of this study was to identify risk factors of lung nodules which were detected by screening for lung cancer with low-dose computed tomography (LDCT). Materials and methods: We evaluated 275 males and 225 females (aged 20–94 years) who took their health examination on LDCT scan without previous respiratory diseases and history of cancers at Taoyuan General Hospital between January 2017 and July 2017. Information about lifestyle and health status was obtained t

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陳, 斌., and Bin Chen. "Automated Segmentation of Lung Nodules and Pulmonary Blood Vessels and Follow-up Analysis of Lung Nodules from 3D CT Images." Thesis, 2012. http://hdl.handle.net/2237/16427.

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Chen, Fu-Tsun, and 陳福村. "Classification and Determination for Small Nodules in 3-D Pulmonary CT Image." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/24278770908392907066.

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碩士<br>臺灣大學<br>醫學工程學研究所<br>98<br>Statistics from health department shows that the lung cancer has been on the second place for male and the first place for female in causes of death by malignant tumors for more than twenty consecutive years. Since the survival rate of late stage lung cancer is relatively low, early diagnosis is critical to survival. Low dose CT is capable of detecting lung tumors of length 1-2 mm in diameter, however the CT interpreting of which remains as a non-trivial task. For example, to identify round-shape tumor and tube-shape blood vessel structure, a physician must und

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Huang, Hsuan-Yu, and 黃宣瑜. "Nodules Detection in Pulmonary Vessels on 3D Thoracic CT Images: A Morphological Dynamics Approach." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/12686445928719781222.

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博士<br>國立中興大學<br>應用數學系所<br>99<br>The goal of this dissertation develop an effective CAD algorithm for lung nodule detection, the algorithm focuses on detection of lung nodules in the vascular trees within the lung, including the nodules attached to the vessels and those floating around the vessels. To achieve this goal, a new true 3D rule-based nodule detection algorithm is proposed in this dissertation. The uniqueness of the proposed detection algorithm lies in the novel idea of morphological dynamics. To assist medical doctors in achieving a high lung nodule detection rate with a low fals

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Alves, Victor Manuel. "Classification of Pulmonary Nodules in 2-[18F]FDG PET/CT Images with Convolutional Neural Networks." Master's thesis, 2021. https://hdl.handle.net/10216/136630.

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Yeh, Chinson, and 葉清松. "Development and Analysis of A 3D CT Image Computer-Aided Diagnosis System for Pulmonary Nodules." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/rxvk2z.

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博士<br>國立中山大學<br>機械與機電工程學系研究所<br>96<br>Several computer-aided diagnostic (CAD) methods for solitary pulmonary nodules (SPNs) have been proposed, which can be divided into two major categories: (1) the morphometric CT method, and (2) the perfusion CT method. The first goal of this work is to introduce a neural network-based CAD method of lung nodule diagnosis by combining morphometry and perfusion characteristics by perfusion CT. The proposed approach has the following distinctive features. Firstly, this work develops a very efficient semi-automatic procedure to segment entire nodules. Secondly,

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Gomes, João Henriques Oliveira. "Pulmonary nodule segmentation in computed tomography with deep learning." Master's thesis, 2017. http://hdl.handle.net/10071/15479.

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Early detection of lung cancer is essential for treating the disease. Lung nodule segmentation systems can be used together with Computer-Aided Detection (CAD) systems, and help doctors diagnose and manage lung cancer. In this work, we create a lung nodule segmentation system based on deep learning. Deep learning is a sub-field of machine learning responsible for state-of-the-art results in several segmentation datasets such as the PASCAL VOC 2012. Our model is a modified 3D U-Net, trained on the LIDC-IDRI dataset, using the intersection over union (IOU) loss function. We show our model w

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CHEN, KENG-QIANG, and 陳鏗鏘. "Evaluation of image Quality and Radiation Dose by Low-Dose Computed Tomography for Diagnosis of Pulmonary Nodules." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/58698504997276173291.

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碩士<br>元培醫事科技大學<br>醫學影像暨放射技術系碩士班<br>104<br>Lung cancer is ten leading causes of death in Taiwanbased on the statistical data from the Ministry of Health and Welfare in 2014., The earlier it is diagnosed the better the chance of getting early and effective treatment.Currently, low-dose multi-slice computed tomography (MSCT) is considered to be the most widely applicable modality for evaluation of lung cancer. The aim of this study was to compare the effective dose for imaging of lung within three different Medical Imagiing Systems. This retrospective study was conducted fromJanuary 2015 to

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Hsieh, Chia-Wen, and 謝佳彣. "Using Artificial Neural Network for Automatic Detection and Classification of Pulmonary Nodules in Lung CT and 3D Reconstruction and Volume Measurement." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ua66es.

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碩士<br>國立臺灣科技大學<br>材料科學與工程系<br>107<br>Lung cancer has the highest mortality among all cancers, and if the pulmonary nodules and categories can be detected correctly and early, then the treatment effect on the patient can be enhanced. Clinically, the pulmonary nodules are screened according to the doctor's diagnosis, whereby they are searched for and their severity is evaluated according to size and appearance. As pulmonary nodules have different sizes and forms, they are sometimes unlikely to be detected in the image during early diagnosis. Therefore, this study develops a computer-aided diagno

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Wu, Nian-Ying, and 吳念穎. "Small (8 mm or Less) Metastatic Pulmonary Nodules in Colorectal Cancer Patients: Volume Doubling Times and Growth Rate Assessment by Using Serial CT and Three-dimensional Volumetry." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/y2627j.

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碩士<br>國立臺灣科技大學<br>材料科學與工程系<br>106<br>This study plans to develop a method using computed tomogra-phy (CT) to calculate the pulmonary metastasis lung nodules volume of colorectal cancer accurately. The volume doubling time and growth rate are calculated by two consecutive volumes, and the optimum subse-quent tracking time interval is proposed. Part I uses image processing techniques to analyze the lung cancer CT to localize the lung nodules region and calculate the lung nodules volume. First, the CT gray level is adjusted by histogram expansion method and adaptive histogram equalization to 0~25

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Chun-Feng, Wang, and 王峻峰. "An intelligent pattern recognition method for solitary pulmonary nodule." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/94590133849752506904.

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Iaccarino, Jonathan. "Patient characteristics associated with adherence of pulmonary nodule guidelines." Thesis, 2017. https://hdl.handle.net/2144/27115.

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BACKGROUND: Pulmonary nodules are a frequent incidental finding on CT imaging and present a diagnostic challenge to clinicians, who must balance the risks of under-evaluation and over-evaluation. Determining why patients have delayed or no follow-up for incidentally found nodules is critical to optimizing pulmonary nodule outcomes and improving early detection of potential lung malignancy. METHODS: I performed a retrospective analysis of all patients found to have new pulmonary nodules on CT imaging at Boston University Medical Center between January 1, 2011 and June December 31, 2014. The pr

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XU, YI-MEI, and 徐憶玫. "Study on the discriminant analysis for single pulmonary nodule diagnosis." Thesis, 1989. http://ndltd.ncl.edu.tw/handle/61008787141735589306.

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Yeh, Chia-Fen, and 葉嘉芬. "The 3D morphological analysis and diagnosis system for pulmonary nodule." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/6kvs3n.

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碩士<br>中原大學<br>醫學工程研究所<br>91<br>Lung cancer becomes one of worldwide deadly diseases growing with each passing day. Using high resolution Computed Tomography images due to complex lung pathological changes can help to find lurk nidus on chest X-ray images. This study developed a set of utilizing computer assistant quantification analysis and diagnosis system in order to help doctors distinguish lung nodules and provide patients with condition track. This study directly caught lung DICOM images to analyze which where aimed at tissues interesting applying window/level to modulate. Using image pro

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Tsou, Chi-Hsuan, and 鄒奇軒. "Modeling Context in Pulmonary CT Images: Applications to Nodule Classification and Segmentation." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/68793593516132751560.

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博士<br>國立臺灣大學<br>醫學工程學研究所<br>103<br>The task of recognizing every object/region in images acquired with different medical imaging modalities is a key problem in medical image analysis (also called image understanding). Most of the earlier object/organ recognition algorithm assigns a single label to an image, e.g. an image of a heart, a lung or a liver. Some go further in detecting and localizing multiple anatomical structures within three-dimensional computed tomography (CT) scans. Instead of applying to a single or multiple object/organ detection, a few concurrent approaches combine segmentati

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Hamilton, Michael. "Characterizing the Effects of Respiratory Motion on Pulmonary Nodule-like Objects in Computed Tomography." Thesis, 2010. http://hdl.handle.net/1807/25610.

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Lung nodule volumetry is used to diagnose the likelihood of malignancy in nodules detected during thoracic CT scans. These measurements are unreliable when the patient is subject to respiratory motion. We seek to understand the relationship between reconstructed images and the actual size of nodules subject to motion induced by quiet breathing. CT images of solid spheres of varying size and composition were acquired while travelling through a known path to approximate the motion of a pulmonary nodule during respiration. The measured size of the sphere’s image was found to increase non-linearly

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Wong, Michelle Xin Zhi. "The peripheral pulmonary lesion - bronchoscopic techniques to improve diagnosis." Thesis, 2020. https://hdl.handle.net/2440/133292.

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Lung cancer is a leading cause of cancer-related deaths worldwide. This is no different in Australia where it is the main cause of cancer-related mortality, and the fifth most commonly cancer diagnosed in Australians. The recent National Lung Screening Trial demonstrated an improvement in mortality when patients deemed high risk for lung cancer underwent annual screening with low dose computed tomography imaging. Nearly 25% of participants were shown to have imaging suspicious for lung cancer. In light of these results, and with the possibility of increased uptake of screening, it is very like

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Alves, Lúcio Orlando Mourão. "Identificação de regiões nodulares em imagens digitais de radiografia pulmonar." Master's thesis, 2009. http://hdl.handle.net/10216/59285.

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