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Moving object detection using modified temporal differencing and local fuzzy thresholding.

, , , , and . J. Supercomput., 73 (3): 1120-1139 (2017)

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Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach., , , , , , , , , and 6 other author(s). IEEE J. Biomed. Health Informatics, 27 (5): 2456-2464 (May 2023)Moving object detection using modified temporal differencing and local fuzzy thresholding., , , , and . J. Supercomput., 73 (3): 1120-1139 (2017)Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns., , and . Expert Syst. Appl., (2018)Analysis of 2D singularities for mammographic mass classification., , and . IET Comput. Vis., 11 (1): 22-32 (2017)Benign-malignant mass classification in mammogram using edge weighted local texture features., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97851X. SPIE, (2016)Classification of benign and malignant masses in mammograms using multi-resolution analysis of oriented patterns., and . ISBI, page 411-414. IEEE, (2015)Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105752N. SPIE, (2018)Automatic characterization of masses in mammograms., , , and . BMEI, page 111-115. IEEE, (2013)Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105751N. SPIE, (2018)Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 1057528. SPIE, (2018)