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Parallel multiple instance learning for extremely large histopathology image analysis.

, , , , , , , and . BMC Bioinform., 18 (1): 360 (2017)

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Improving wordspotting performance with limited training data.. Massachusetts Institute of Technology, Cambridge, MA, USA, (1995)ndltd.org (oai:dspace.mit.edu:1721.1/38056).Weakly supervised histopathology cancer image segmentation and classification, , , , and . Medical Image Analysis, 18 (3): 591 - 604 (2014)Gland Instance Segmentation by Deep Multichannel Neural Networks., , , , , , and . CoRR, (2016)Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention., , , , and . ISBI, page 169-173. IEEE, (2020)Parallel multiple instance learning for extremely large histopathology image analysis., , , , , , , and . BMC Bioinform., 18 (1): 360 (2017)Gland Instance Segmentation by Deep Multichannel Side Supervision., , , , , and . MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 496-504. (2016)Gland Instance Segmentation Using Deep Multichannel Neural Networks., , , , , , and . CoRR, (2016)EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images., , , , , , , , , and 1 other author(s). CoRR, (2023)Weakly supervised histopathology image segmentation with self-attention., , , , , , , , and . Medical Image Anal., (May 2023)Named entity recognition of follow-up and time information in 20 000 radiology reports., , and . J. Am. Medical Informatics Assoc., 19 (5): 792-799 (2012)