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Automatic detection and segmentation of liver metastatic lesions on serial CT examinations.

, , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903519. SPIE, (2014)

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Chest pathology identification using deep feature selection with non-medical training., , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 6 (3): 259-263 (2018)Chest pathology detection using deep learning with non-medical training., , , , , and . ISBI, page 294-297. IEEE, (2015)Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN., , , , , and . Patch-MI@MICCAI, volume 10530 of Lecture Notes in Computer Science, page 129-137. Springer, (2017)Mutual information criterion for feature selection with application to classification of breast microcalcifications., , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97841S. SPIE, (2016)Deep learning with non-medical training used for chest pathology identification., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94140V. SPIE, (2015)Fully Convolutional Network for Liver Segmentation and Lesions Detection., , , , and . LABELS/DLMIA@MICCAI, volume 10008 of Lecture Notes in Computer Science, page 77-85. (2016)Automatic detection and segmentation of liver metastatic lesions on serial CT examinations., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 903519. SPIE, (2014)Lung texture classification using bag of visual words., , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90352K. SPIE, (2014)Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions., , , , , , , and . IEEE J. Biomed. Health Informatics, 20 (6): 1585-1594 (2016)Multi-phase liver lesions classification using relevant visual words based on mutual information., , , , and . ISBI, page 407-410. IEEE, (2015)