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Automated gastric cancer diagnosis on H&E-stained sections; ltraining a classifier on a large scale with multiple instance machine learning.

, , , , , , , and . Medical Imaging: Digital Pathology, volume 8676 of SPIE Proceedings, page 867605. SPIE, (2013)

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A board system for high-speed image analysis and neural networks., and . IEEE Trans. Neural Networks, 7 (1): 214-221 (1996)Automated gastric cancer diagnosis on H&E-stained sections; ltraining a classifier on a large scale with multiple instance machine learning., , , , , , , and . Medical Imaging: Digital Pathology, volume 8676 of SPIE Proceedings, page 867605. SPIE, (2013)Attend and Interact: Higher-Order Object Interactions for Video Understanding., , , , , and . CoRR, (2017)An application of neural net chips: handwritten digit recognition., , , , , and . ICNN, page 107-115. IEEE, (1988)Handwritten digit recognition: applications of neural network chips and automatic learning., , , , , , , , and . IEEE Commun. Mag., 27 (11): 41-46 (1989)Kontinuierliche simultane In-vivo-Insulin- und Glukosebestimmung, analytische Behandlung der Signaldämpfung.. University of Freiburg, Freiburg im Breisgau, Germany, (1980)COMPOSER: Compositional Learning of Group Activity in Videos., , , , , , , , and . CoRR, (2021)Learning Higher-order Object Interactions for Keypoint-based Video Understanding., , , , and . CoRR, (2023)Reconfigurable Neural Net Chip with 32K Connections., , , and . NIPS, page 1032-1038. Morgan Kaufmann, (1990)S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation., , , and . CVPR, page 6537-6546. Computer Vision Foundation / IEEE, (2020)