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Dissertations / Theses on the topic 'Mammography'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Marti, Robert. "Multi-modality mammography." Thesis, University of East Anglia, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251724.

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2

Coakley, Kerry Shona. "Phase contrast mammography." Thesis, Queensland University of Technology, 2000.

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3

Kessler, Cecilia. "Développement et mise en place au BIPM d’un systéme international de comparaison et d’étalonnage pour la dosimétrie en mammographie." Thesis, Paris, CNAM, 2013. http://www.theses.fr/2013CNAM0864/document.

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La mammographie est une technique d’imagerie par rayons x, considérée comme la technique actuelle la plus efficace pour dépister le cancer du sein à un stade précoce. A cause des risques de carcinogenèse induite par les rayonnements associés à l’examen par rayons x, il est donc essentiel de réaliser un étalonnage précis du faisceau de rayonnements afin de réduire au maximum la dose de rayonnement délivrée au sein du patient et d’obtenir la meilleure qualité d’image possible. L’étalonnage du faisceau de rayons x est effectué avec des chambres d’ionisation, instruments du commerce qui doivent êt

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4

Li, Yanpeng. "Mammographic Density Assessment: Inter-Reader Variability And Novel Phantom Quantification." Thesis, The University of Sydney, 2015. http://hdl.handle.net/2123/13820.

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Aims: This thesis aims to investigate the level of consistency in radiologists’ mammographic density (MD) reporting and to investigate the reasons that lead to reporting variability, and then to develop novel, affordable phantom images to validate imaging parameters linked with MD assessment. Methods: Project one: 17 radiologists were asked to report the BI-RADS density category and to manually segment the areas they regarded as MD for 40 clinical images. The consistency in the BI-RADS density reporting was quantified, and the impact of MD segmentation was investigated. For radiologists’ MD s

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5

Finn, Jane Rebecca. "Digital image processing for mammography." Thesis, Imperial College London, 1997. http://hdl.handle.net/10044/1/8888.

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6

Gabe, Rhian. "Observational evaluation of service mammography." Thesis, Queen Mary, University of London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.440554.

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7

Rogers, Donna Marie. "Space, place and mammography utilization /." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487948807585408.

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8

Benevides, Luis Alberto do Rego. "Breast dosimetry in clinical mammography." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011521.

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9

Barnabò, Andrea. "Machine learning techniques for mammography applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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During this work we will use machine learning and deep learning techniques in order to face up to some medical problems where they can play a basic role. In particular we will apply these algorithms to some mammography issues. The thesis presents three main experiments that are described below. The first one consists of a classification between nipples and non-nipples images. In this part of the work we will build a dataset composed by images belonging to these two classes. The main purpose here will be to build a classifier able to distinguish between nipple and non-nipple images. Several mac

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10

Brooks, Kenneth W. "Automated analysis of mammography phantom images." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/17900.

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11

Saifuddin, Sarene Chu. "Contrast agent mammography using spectroscopic detectors." Thesis, University of Surrey, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.616487.

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World Health Organization (WHO) reported that breast cancer is the top cancer in women both in the developed and the developing countries. Although breast cancer is thought to be a disease of the developed countries, the incidence of breast cancer is increasing in developing countries, where the disease has becoming the lead ing cause of death. WHO added that the high mortality rates in less developed countries is mainly causes by majority of cases are diagnosed in late stages preventing curable treatment, as well as by the lack of adequate diagnosis and treatment facilities. Therefore, early

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12

簡適悠 and Sik-yau Anita Kan. "A clinical audit of mammography screening." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B41710113.

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13

Tang, Mengxing. "Image reconstruction in electrical impedance mammography." Thesis, De Montfort University, 2003. http://hdl.handle.net/2086/6260.

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Breast cancer continues to be a leading cause of death in Western countries. One of the most important approaches to reduce this mortality is to detect the cancer as early as possible. Although current diagnostic imaging modalities are able to give useful information for diagnosis, development of new imaging technique is highly desirable in order to detect breast cancer in an earlier stage. This is the motive of the present study of Electrical Impedance Mammography (ElM), which applies Electrical Impedance Tomography (EIT) to image human breasts. The overall aim of the whole project is to deve

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14

Locascio, Nicholas (Nicholas J. ). "Deep learning for clinical mammography screening." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113130.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>"June 2017." Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (page 37).<br>Breast cancer is the most common cancer among women worldwide. Today, the vast majority of breast cancers are diagnosed from screening mammography. Multiple randomized clinical studies have demonstrated t

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15

Hartswood, Mark. "Human factors in computer-aided mammography." Thesis, University of Edinburgh, 1999. http://hdl.handle.net/1842/10939.

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Breast screening requires film readers to exercise considerable expertise when examining breast X-rays (or 'mammograms') for signs of malignancy. Understandably; errors are sometimes made, and the screening programme is continually investigating ways to improve detection performance. In recent years, interest has grown in using computer based prompting systems to assist with reading. Prompting systems use image analysis techniques to identify possible cancers within a digitised mammogram and cue film readers to their location with the aim of preventing cancers from being overlooked. A qualitat

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16

Kan, Sik-yau Anita. "A clinical audit of mammography screening." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B41710113.

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17

Soh, Bao Lin Pauline. "Test-Set Reading: Value to Mammography." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/11557.

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Purpose: The purpose of this thesis is to understand the relationship between mammographic performance based on actual clinical reading and performances at screen read test-sets, as well as to examine the potential causal agents for any lack of correlation. Methods: This study was designed to encompass three facets. The first element investigated the extent to which test-set reading can represent actual clinical reporting in screening mammography. The second element examined the manner that the location where reading takes place and the availability of prior images can impact upon performance

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18

Olsén, Christina. "Towards Automatic Image Analysis for Computerised Mammography." Doctoral thesis, Umeå University, Computing Science, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1657.

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<p>Mammographic screening is an effective way to detect breast cancer. Early detection of breast cancer depends to a high degree on the adequacy of the mammogram from which the diagnosis is made. Today, most of the analysis of the mammogram is performed by radiologists. Computer-aided diagnosis (CAD) systems have been proposed as an aid to increase the efficiency and effectiveness of the screening procedure by automatically indicating abnormalities in the mammograms. However, in order for a CAD system to be stable and efficient, the input images need to be adequate. Criteria for adequacy inclu

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19

Zeidan, Mohammad. "Assessment of Mean Glandular Dose in Mammography." Thesis, University of Canterbury. Department of Physics, 2009. http://hdl.handle.net/10092/2653.

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The mean glandular dose (MGD) was measured for a breast phantom by using molybdenum/molybdenum and molybdenum/rhodium target/filter combinations, at different kVp 26, 28 and 32 kilovolts. The phantom thickness was 7.5cm and was made of BR12 material. The change of dose was studied as a function of depth inside the phantom at different depths from the surface, namely 3.3, 4.3 and 5.3cm, by using TLDs. It was found that the MGD value for different combinations of beam quality (HVL) and energy (kVp) did not exceed the recommended values given by different protocols. The Mo/Rh target/filter requir

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20

Olsén, Christina. "Towards Automatic Image Analysis for Computerised Mammography /." Umeå : Department of Computing Science, Umeå University, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1657.

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21

Yip, Mary. "Image simulation framework for digital mammography systems." Thesis, University of Surrey, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.531394.

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22

Chang, Sue-Ling. "Breast cancer subtypes and screening mammography sensitivity." Thesis, Université Laval, 2014. http://www.theses.ulaval.ca/2014/30680/30680.pdf.

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Les cancers du sein peuvent être classifiés selon le statut de récepteur d’estrogène (RE), de récepteur de progestérone (RP), de récepteur HER2, ou selon quatre sous-types (Luminal A, Luminal B, HER2-enrichi, Triple-négatif) ayant des propriétés biologiques et cliniques différentes. La sensibilité du dépistage par mammographie pourrait varier selon ces types de cancers mais ceci n’est pas encore clair. L’agressivité de la tumeur, mesurée par le grade histologique pourrait expliquer cette association. Les types de cancers d’intervalle ont été comparés à ceux de cancers détectés par dépistage pa

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23

Blot, Lilian. "Texture analysis and synthesis : applications in mammography." Thesis, University of East Anglia, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396607.

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24

Price, B. D. "Towards combined X-ray and optical mammography." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1209181/.

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Optical contrast, dependent upon haemodynamics and thus providing physiological information, is complementary to radiographic contrast. Combined x-ray and optical mammography screening could provide increased specificity over either system alone. Medical imaging equipment is routinely characterised and tested using tissue equivalent phantoms. A novel phantom material is presented: a solution of polyvinyl alcohol in ethanol and water freeze-thawed to produce a solid yet elastically compressible gel. The x-ray attenuation, mechanical and optical properties of these gels can be accurately adjuste

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25

Lease, Alyson. "Feasibility of using LODOX technology for mammography." Master's thesis, University of Cape Town, 2001. http://hdl.handle.net/11427/3260.

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26

Kovalchuk, Nataliya. "Advances in Magnetic Resonance Electrical Impedance Mammography." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002443.

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27

Brown, Wendy L. "Emotional and pain responses to screening mammography /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16300.pdf.

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28

Hahn, Hee Il. "Wavelet transforms for detecting microcalcifications in mammography." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187416.

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A three-stage method based on wavelet transforms for detecting and segmenting calcifications is developed. The first stage consists of preprocessing which is realized by subtracting from the original image a Gaussian low-pass filtered version, followed by a full resolution wavelet transform. With a Laplacian of Gaussian wavelet basis the detection of microcalcifications can be nearly optimized in the details sub-bands. In fact, the two-dimensional filters which transform the input image into HH and LH + HL details sub-bands are closely related to prewhitening matched filters for detecting Gaus

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29

Damases, Christine. "Causal factors and potential clinical implications of variation in mammographic density assessment." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/16141.

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The thesis explores various measures of MBD assessment in digital mammography (DM) and assesses inter-‐reader variability using BI-‐RADS® and RANZCR scales based on four studies. Methods: In studies 1 and 2, 40 images from 20 US women—acquired one year apart—were processed using Volpara®densityTM software. Observers (20 experts) assessed the images using BI-‐RADS®. Study 1 used spearman’s correlation (ρ) to examine relationships between the systems for BI-‐RADS®, VDG, and AvBD%. Study 2 examined inter-‐observer agreement using BI-‐RADS® 4-‐point and binary scales. In study 3, 26 Austral

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30

Gonzalez, Ana Paula Squaris. "Identificação de critérios de avaliação de tecnologias em saúde : estudo de caso em mamografia." reponame:Repositório Institucional da UFABC, 2015.

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Orientador: Prof. Dr. Harki Tanaka<br>Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Engenharia Biomédica, 2015.<br>Esse trabalho visou realizar um estudo para auxiliar gestores de tecnologias médicas por meio da denição de critérios de avaliação de tecnologia em saúde na escolha de um equipamento de mamograa. O gestor de tecnologias médicas na atualidade encontra no mercado três tipos de tecnologias de mamograa diferentes: mamograa convencional, mamograa computadorizada e mamograa digital. Primeiramente foi realizado um estudo sobre a cadeia de imagem de ca

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31

Yilmaz, Tugba. "Psychosocial Correlates Of Breast Self Examination And Mammography." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614639/index.pdf.

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The objective of this study was to examine the relationship between psychosocial correlates (big 5 personality traits, dispositional optimism, the Health Belief Model, breast cancer fear, mammography self efficacy, and social support) and breast self examination (BSE) and mammography in breast cancer-free women. In order to measure the social support of the participants, the MOS social support survey was adapted to Turkish culture in the scope of study 1. The sample of the study 1 included 241 participants. The analyses showed that Turkish version of the MOS social support survey had satisfact

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32

Dinh, Ngoc-Thy. "The Cost-Effectiveness of Screening Mammography in Canada." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32325.

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This work includes a series of studies that examines the health and economic impacts of screening mammography from international and Canadian perspectives. This work is a compendium of several researched chapters that include an introduction, four body chapters, and a discussion. The body chapters include a systematic review of the health economic literature on screening mammography, a review of quantitative models used to examine the consequences of breast cancer screening, and cost-effectiveness analyses of screening mammography programs in Canada for the general female population and for su

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33

Barnsley, G. Philip. "Evaluation of surveillance mammography following reconstructive breast surgery." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27811.

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Objective. There are currently no recommendations on the use of surveillance mammography for women who have undergone breast reconstruction following mastectomy. The objective of this study is to address the needs of this population of women with regards to the inclusion of ipsilateral surveillance mammography in their regular surveillance. Methods. A multimethod approach including (1) a systematic review, (2) a population based cohort study, and (3) an economic analysis was conducted to evaluate this issue. Results. The systematic review found only case reports and case series' addressing the

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34

Shen, Liang. "Region-based adaptive image processing techniques for mammography." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0011/NQ34701.pdf.

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35

Bornefalk, Hans. "Computer-aided detection and novel mammography imaging techniques." Doctoral thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3861.

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36

Lagerlund, Magdalena. "Factors affecting attendance at population-based mammography screening /." Stockholm, 2002. http://diss.kib.ki.se/2002/91-7349-061-x/.

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37

Hong, Byung-Woo. "Image segmentation, shape and registration : application to mammography." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413508.

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38

White, Laura Louise. "Theoretical and experimental studies in positron emission mammography." Thesis, Institute of Cancer Research (University Of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404997.

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39

Sze, Gerald. "Detection of breast cancer with electrical impedance mammography." Thesis, University of Sussex, 2012. http://sro.sussex.ac.uk/id/eprint/39460/.

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Electrical Impedance Tomography (EIT) is a medical imaging technique that reconstructs internal electrical conductivity distribution of a body from impedance data that is measured on the body surface, and Electrical Impedance Mammography (EIM) is the technique that applies EIT in breast cancer detection. The use of EIM for breast cancer identification is highly desirable because it is a non-invasive and low-cost imaging technology. EIM has the potential in detecting early stage cancer, however there are still challenges that hindering EIM to be provided as a routine health care system. There a

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40

Richardson, Richard Thomas. "Image Enhancement of Cancerous Tissue in Mammography Images." NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/39.

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This research presents a framework for enhancing and analyzing time-sequenced mammographic images for detection of cancerous tissue, specifically designed to assist radiologists and physicians with the detection of breast cancer. By using computer aided diagnosis (CAD) systems as a tool to help in the detection of breast cancer in computed tomography (CT) mammography images, previous CT mammography images will enhance the interpretation of the next series of images. The first stage of this dissertation applies image subtraction to images from the same patient over time. Image types are defined

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41

Ali, Raed Mohammed Kadhim M. "Risk of radiation-induced cancer from screening mammography." Thesis, University of Salford, 2016. http://usir.salford.ac.uk/41581/.

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Background and Objectives: When the benefits and risks of mammography are considered, the risk of radiation-induced cancer is calculated only for the breast using the mean glandular dose (MGD). Whilst MGD is a useful concept, it has many limitations. This thesis aims to establish a novel method to determine and convey radiation risk from full field digital mammography (FFDM) screening using lifetime effective risk. Method: For effective risk calculations, organ doses as well as examined breast MGD are required. Screening mammography was simulated by exposing a breast phantom for cranio-caudal

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42

Tao, Wang. "Adapting multiple datasets for better mammography tumor detection." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231867.

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In Sweden, women of age between of 40 and 74 go through regular screening of their breasts every 18-24 months. The screening mainly involves obtaining a mammogram and having radiologists analyze them to detect any sign of breast cancer. However reading a mammography image requires experienced radiologist, and the lack of radiologist reduces the hospital's operating efficiency. What's more, mammography from different facilities increases the difficulty of diagnosis. Our work proposed a deep learning segmentation system which could adapt to mammography from various facilities and locate the posi

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43

Suleiman, Mo'ayyad Essa Abedulrahman. "Diagnostic Reference Levels for digital mammography in Australia." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18930.

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Aims: In 3 phases, this thesis explores: radiation doses delivered to women during mammography, methods to estimate mean glandular dose (MGD), and the use of mammographic breast density (MBD) in MGD calculations. Firstly, it examines Diagnostic reference levels (DRLs) for digital mammography in Australia, with novel focus on the use of compressed breast thickness (CBT) and detector technologies as a guide when determining patient derived DRLs. Secondly, it analyses the agreement between Organ Dose estimated by different digital mammography units and calculated MGD for clinical data. Thirdly, i

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44

Turnbull, Deborah Anne. "Psychosocial issues in implementing mammography screening in Australia." Phd thesis, Faculty of Arts, 1992. http://hdl.handle.net/2123/8575.

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45

Stewart, Brian D. "Automatic mammogram interpretation using knowledge-based computer vision." Thesis, University of Dundee, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333875.

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46

Konstantinos, Marias. "Registration and quantitative comparison of temporal mammograms (with application to HRT data)." Thesis, University College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271678.

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47

Riza, Eleni. "Determinants of mammographic parenchymal patterns and implications for breast cancer aetiology : a study in northern Greece (Ormylia Mammography Screening Programme)." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324626.

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48

García, Marcos Eloy. "Glandular tissue pattern analysis through multimodal MRI-mammography registration." Doctoral thesis, Universitat de Girona, 2018. http://hdl.handle.net/10803/585969.

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Breast cancer is the most common cancer among women worldwide. Several studies have shown that the combination of the different medical image modalities, such as the x-ray mammography and the magnetic resonance imaging (MRI), leads to a more accurate diagnosis. The aim of this thesis is double, on the one hand, to evaluate the similarity between the information obtained from x-ray mammography and from MRI images and, on the other hand, to propose new registration algorithms to perform the correlation between the two image modalities. The problem includes from the biomechanical model constructi

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49

Dolan, Rachel Marie. "Racial disparities in mammography utilization in women under 40." Connect to Electronic Thesis (CONTENTdm), 2010. http://worldcat.org/oclc/646026423/viewonline.

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50

Sinzinger, Fabian. "Mammography Classification and Nodule Detection using Deep Neural Networks." Thesis, KTH, Numerisk analys, NA, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220319.

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Mammographic screenings are the most common modality for an early detection of breast cancer, but a robust annotation of the depicted breast tissue presents an ongoing challenge, even for well-experienced radiologists. Computer-aided diagnosis systems can support the human classification. Modern systems therefore often rely on deep-learning based methods. This thesis investigates the fully automatic on-image classification of mammograms into one of the classes benign, malignant (cancerous) or normal. In this context, we compare two different design paradigms, one straightforward end-to-end mod

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