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Characterization of Primary and Secondary Malignant Liver Lesions from B-Mode Ultrasound.

, , , and . J. Digit. Imaging, 26 (6): 1058-1070 (2013)

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Neural network based focal liver lesion diagnosis using ultrasound images., , , , and . Comput. Medical Imaging Graph., 35 (4): 315-323 (2011)Characterization of Primary and Secondary Malignant Liver Lesions from B-Mode Ultrasound., , , and . J. Digit. Imaging, 26 (6): 1058-1070 (2013)Localization of lung fields in HRCT images using a deep convolution neural network., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 1057535. SPIE, (2018)SVM-Based Characterization of Liver Ultrasound Images Using Wavelet Packet Texture Descriptors., , , and . J. Digit. Imaging, 26 (3): 530-543 (2013)SVM-based characterisation of liver cirrhosis by singular value decomposition of GLCM matrix., , , and . Int. J. Artif. Intell. Soft Comput., 3 (3): 276-296 (2013)Enhancement of the ultrasound images by modified anisotropic diffusion method., , , , and . Medical Biol. Eng. Comput., 48 (12): 1281-1291 (2010)Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval., , , , , and . J. Digit. Imaging, 32 (3): 362-385 (2019)Neural Network Ensemble Based CAD System for Focal Liver Lesions from B-Mode Ultrasound., , , and . J. Digit. Imaging, 27 (4): 520-537 (2014)Comparing Genetic Programming with Other Data Mining Techniques on Prediction Models., , , and . ICCSE, page 785-791. IEEE, (2019)Prediction of Cirrhosis Based on Singular Value Decomposition of Gray Level Co-occurence Marix and aNneural Network Classifier., , , and . DeSE, page 146-151. IEEE Computer Society, (2011)