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Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks.

, , , , , and . IEEE J. Biomed. Health Informatics, 23 (3): 1316-1328 (2019)

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Nucleus-Aware Self-Supervised Pretraining Using Unpaired Image-to-Image Translation for Histopathology Images., , , , , , , and . IEEE Trans. Medical Imaging, 43 (1): 459-472 (January 2024)Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features., , , , , , and . BMC Bioinform., 18 (1): 281:1-281:17 (2017)Marrying Global-Local Spatial Context for Image Patches in Computer-Aided Assessment., , , , , and . IEEE Trans. Syst. Man Cybern. Syst., 53 (11): 7099-7111 (November 2023)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)Local-to-global spatial learning for whole-slide image representation and classification., , , , , , and . Comput. Medical Imaging Graph., (2023)Weakly supervised histopathology image segmentation with self-attention., , , , , , , , and . Medical Image Anal., (May 2023)Gland Instance Segmentation Using Deep Multichannel Neural Networks., , , , , , and . CoRR, (2016)Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation., , , , , , and . MICCAI (2), volume 13432 of Lecture Notes in Computer Science, page 160-170. Springer, (2022)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)