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Relevant bibliographies by topics / Hu-histogram

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Academic literature on the topic 'Hu-histogram'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Hu-histogram"

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Romanov, Andrej, Michael Bach, Shan Yang, et al. "Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU Thresholds." Diagnostics 11, no. 5 (2021): 738. http://dx.doi.org/10.3390/diagnostics11050738.

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CT patterns of viral pneumonia are usually only qualitatively described in radiology reports. Artificial intelligence enables automated and reliable segmentation of lungs with chest CT. Based on this, the purpose of this study was to derive meaningful imaging biomarkers reflecting CT patterns of viral pneumonia and assess their potential to discriminate between healthy lungs and lungs with viral pneumonia. This study used non-enhanced and CT pulmonary angiograms (CTPAs) of healthy lungs and viral pneumonia (SARS-CoV-2, influenza A/B) identified by radiology reports and RT-PCR results. After de

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Szász, Paulína, Petr Kučera, Filip Čtvrtlík, Kateřina Langová, Igor Hartmann, and Zbyněk Tüdös. "Diagnostic Value of Unenhanced CT Attenuation and CT Histogram Analysis in Differential Diagnosis of Adrenal Tumors." Medicina 56, no. 11 (2020): 597. http://dx.doi.org/10.3390/medicina56110597.

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Background and Objectives: Our aim was to verify the optimal cut-off value for unenhanced CT attenuation and the percentage of negative voxels in the volume CT histogram analysis of adrenal masses. Materials and Methods: We retrospectively analyzed the CT data of patients who underwent an adrenalectomy in the period 2002–2019. In total, 413 adrenalectomies were performed. Out of these, 233 histologically verified masses (123 adenomas, 58 pheochromocytomas, 18 carcinomas, and 34 metastases) fulfilled the inclusion criteria and were selected for analysis. The mean unenhanced attenuation in Houns

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NALBANT, Mustafa Orhan, and Ercan İNCİ. "The efficacy of volumetric computed tomography histogram analysis in adrenal masses." Journal of Health Sciences and Medicine 6, no. 4 (2023): 730–36. http://dx.doi.org/10.32322/jhsm.1279667.

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Aims: The rate of adrenal mass detection has increased due to the development of imaging modalities. It is vital to differentiate benign adrenal adenomas from other adrenal masses in order to establish whether an active management strategy is essential. Volumetric CT histogram analysis calculates the percentage of covered pixels in the negative attenuation region. The goal of this research was to evaluate the diagnostic utility of volume histogram analysis for adrenal tumors confirmed histopathologically as well as the ideal slice thickness for CT histogram analysis to differentiate between be

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Park, Sun-Young, Hong Il Ha, Sang Min Lee, In Jae Lee, and Hyun Kyung Lim. "Comparison of diagnostic accuracy of 2D and 3D measurements to determine opportunistic screening of osteoporosis using the proximal femur on abdomen-pelvic CT." PLOS ONE 17, no. 1 (2022): e0262025. http://dx.doi.org/10.1371/journal.pone.0262025.

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Objectives To compare the osteoporosis-predicting ability of computed tomography (CT) indexes in abdomen-pelvic CT using the proximal femur and the reliability of measurements in two- and three-dimensional analyses. Methods Four hundred thirty female patients (age range, 50–96 years) who underwent dual-energy X-ray absorptiometry and abdominal-pelvic CT within 1 month were retrospectively selected. The volumes of interest (VOIs) from the femoral head to the lesser trochanter and the femoral neck were expressed as 3DFemur. Round regions of interest (ROIs) of image plane drawn over the femoral n

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HU, CHIN-KUN, JAU-ANN CHEN, and F. Y. WU. "CRITICAL POINT OF THE KAGOME POTTS MODEL: A HISTOGRAM MONTE CARLO RENORMALIZATION GROUP DETERMINATION." Modern Physics Letters B 08, no. 07 (1994): 455–59. http://dx.doi.org/10.1142/s0217984994000480.

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The histogram Monte Carlo renormalization group method proposed by Hu is used to determine the critical point of the q-state Potts model on the Kagome lattice. Our results are compared with the predictions of conjectures by Wu and Tsallis.

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Wildah, Siti Khotimatul, and Abdul Latif. "Kombinasi Metode Fitur Ekstraksi untuk Indentifikasi Penyakit pada Daun Teh." Jurnal Sistem dan Teknologi Informasi (JustIN) 11, no. 3 (2023): 447. http://dx.doi.org/10.26418/justin.v11i3.65172.

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Teh merupakan salah satu minuman yang paling banyak dikonsumsi di dunia, namun produksi teh seringkali terhambat dan mengalami penurunan oleh berbagai penyakit yang mempengaruhi pertumbuhan dan kualitas daun teh. Penelitian ini bertujuan untuk mengembangkan sistem klasifikasi penyakit daun teh dengan memanfaatkan teknologi Image Classification dan menerapkan metode kombinasi analisis tekstur Haralick, Color Histogram, Hu Moment dan pengklasifikasian objek menggunakan Random Forest classifier. Dataset yang digunakan dalam penelitian ini dikumpulkan dari perkebunan teh Johnstone Boiyon di Koiwa,

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Stefano, Alessandro, Mauro Gioè, Giorgio Russo, et al. "Performance of Radiomics Features in the Quantification of Idiopathic Pulmonary Fibrosis from HRCT." Diagnostics 10, no. 5 (2020): 306. http://dx.doi.org/10.3390/diagnostics10050306.

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Background: Our study assesses the diagnostic value of different features extracted from high resolution computed tomography (HRCT) images of patients with idiopathic pulmonary fibrosis. These features are investigated over a range of HRCT lung volume measurements (in Hounsfield Units) for which no prior study has yet been published. In particular, we provide a comparison of their diagnostic value at different Hounsfield Unit (HU) thresholds, including corresponding pulmonary functional tests. Methods: We consider thirty-two patients retrospectively for whom both HRCT examinations and spiromet

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Kwon, Heejin, Eunju Kang, Sanghyun Kim, Yanghyun Baeck, Ilcheol Bark, and Jinhan Cho. "Predicting prognosis prior to the combination of atezolizumab and bevacizumab on unresectable HCC: Analysis and comparison of tumor heterogeneity at CT and Gd-EOB-DTPA hepatobiliary MR imaging." Medicine 103, no. 49 (2024): e40769. https://doi.org/10.1097/md.0000000000040769.

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Since 2007, the combination of atezolizumab and bevacizumab, comprising an immune checkpoint inhibitor and a molecularly targeted agent, has become the first-line treatment for advanced hepatocellular carcinoma (HCC). Predicting prognosis prior to systemic chemotherapy remains a critical concern. This study included 84 advanced HCC patients who underwent enhanced computed tomography (CT) and Gd-EOB-DTPA magnetic resonance imaging (MRI) before the systemic therapy were included. In CT, the 2 radiologists measured mean CT Hounsfield unit (CTHU) value by drawing region of interest at the largest

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huaijantug, somkiat, paranee yatmark, Wutthiwong Theerapan, Tanawalee Mantiantipan, Itsari Atsawarat, and Duangthip Chatchaisak. "Quantitative measurement of regional brain imaging using computed tomography in canine with suspected stroke." Journal of Research in Veterinary Sciences 5, no. 1 (2025): 21. https://doi.org/10.5455/jrvs.20241220022945.

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Background and Aim: Brain stroke is increasingly being recognized in veterinary medicine and difficult to diagnosis. Computed tomography (CT) scan is a tool that can help the diagnosis more easily and rapidly. The objective of this study was to determine the clinical characteristics and quantitated CT images in terms of volume and histogram analysis of the ROIs (rostral cerebral artery, middle cerebral artery, caudal cerebral artery, and caudal cerebellar artery) in dogs with suspected stroke. Materials and Methods: Six dogs with suspected stroke and 3 healthy dogs were evaluated. General clin

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Katsuta, Yoshiyuki, Noriyuki Kadoya, Shina Mouri, et al. "Prediction of radiation pneumonitis with machine learning using 4D-CT based dose-function features." Journal of Radiation Research 63, no. 1 (2021): 71–79. http://dx.doi.org/10.1093/jrr/rrab097.

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Abstract In this article, we highlight the fundamental importance of the simultaneous use of dose-volume histogram (DVH) and dose-function histogram (DFH) features based on functional images calculated from 4-dimensional computed tomography (4D-CT) and deformable image registration (DIR) in developing a multivariate radiation pneumonitis (RP) prediction model. The patient characteristics, DVH features and DFH features were calculated from functional images by Hounsfield unit (HU) and Jacobian metrics, for an RP grade ≥ 2 multivariate prediction models were computed from 85 non-small cell lung

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Conference papers on the topic "Hu-histogram"

1

Wibowo, Eri Prasetyo, Sandi Agung Harseno, and Robby Kurniawan Harahap. "Feature Extraction Using Histogram of Oriented Gradient and Hu Invariant Moment for Face Recognition." In 2018 Third International Conference on Informatics and Computing (ICIC). IEEE, 2018. http://dx.doi.org/10.1109/iac.2018.8780493.

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