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Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features., , , , , , and . BMC Bioinformatics, 18 (1): 281:1-281:17 (2017)Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation., , , , and . MICCAI (3), volume 7512 of Lecture Notes in Computer Science, page 623-630. Springer, (2012)Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks., , , , , and . CoRR, (2017)Gland Instance Segmentation Using Deep Multichannel Neural Networks., , , , , , and . CoRR, (2016)Parallel multiple instance learning for extremely large histopathology image analysis., , , , , , , and . BMC Bioinformatics, 18 (1): 360 (2017)Gland Instance Segmentation by Deep Multichannel Neural Networks., , , , , , and . CoRR, (2016)Gland Instance Segmentation by Deep Multichannel Side Supervision., , , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 496-504. (2016)Deep learning of feature representation with multiple instance learning for medical image analysis., , , , , and . ICASSP, page 1626-1630. IEEE, (2014)Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation., , , , , and . ICASSP, page 947-951. IEEE, (2015)Weakly supervised histopathology cancer image segmentation and classification., , , , and . Medical Image Analysis, 18 (3): 591-604 (2014)