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A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens.

, , , , , , , , , , and . Comput. Methods Programs Biomed., (2016)

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Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2016)Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review., , , , , , and . Comput. Biol. Medicine, (2018)Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine-learning paradigm., , , , and . Int. J. Imaging Syst. Technol., 31 (3): 1503-1518 (2021)Wall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm., , , , , , and . Comput. Biol. Medicine, (2017)A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens., , , , , , , , , and 1 other author(s). Comput. Methods Programs Biomed., (2016)Performance evaluation of breast lesion detection systems with expert delineations: a comparative investigation on mammographic images., , , and . Multim. Tools Appl., 78 (16): 22421-22444 (2019)Segmentation of malignant tumours in mammogram images: A hybrid approach using convolutional neural networks and connected component analysis., , , and . Expert Syst. J. Knowl. Eng., (2022)