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Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples.

, , , , , , and . Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, Springer, (2019)

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Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors., , , , and . CoRR, (2020)Deep Learning Representation using Autoencoder for 3D Shape Retrieval., , , , and . Neurocomputing, (2016)A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation., , , , and . 3DV, page 682-690. IEEE Computer Society, (2018)Deep learning representation using autoencoder for 3D shape retrieval., , , , and . SPAC, page 279-284. IEEE, (2014)3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training., , , , , , , , and . CoRR, (2018)3D Shape Matching via Two Layer Coding., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 37 (12): 2361-2373 (2015)Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification., , , , , , , , , and 2 other author(s). CoRR, (2020)3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training., , , , , , , , and . WACV, page 3635-3644. IEEE, (2020)Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples., , , , , , and . CoRR, (2020)Bag Reference Vector for Multi-instance Learning., , and . CoRR, (2015)