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Self supervised contrastive learning for digital histopathology.

, , и . CoRR, (2020)

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Martel Möbius

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IJCARS: MICCAI 2020 special issue., , , , и . Int. J. Comput. Assist. Radiol. Surg., 16 (10): 1639 (2021)Multi-layer Domain Adaptation for Deep Convolutional Networks., , и . DART/MIL3ID@MICCAI, том 11795 из Lecture Notes in Computer Science, стр. 20-27. Springer, (2019)Multi-Modality fiducial marker for validation of registration of medical images with histology., и . Medical Imaging: Image Processing, том 7623 из SPIE Proceedings, стр. 762331. SPIE, (2010)Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology., , , и . MLMI, том 9352 из Lecture Notes in Computer Science, стр. 263-270. Springer, (2015)An adaptive complex independent component analysis to analyze dynamic contrast enhanced-MRI., , , и . ISBI, стр. 1052-1055. IEEE, (2012)Using independent components analysis to calculate intravascular contrast agent concentration in prostate cancer., , и . ISBI, стр. 966-969. IEEE, (2013)Data Weighting for Principal Component Noise Reduction in Contrast Enhanced Ultrasound., , и . MICCAI (2), том 4191 из Lecture Notes in Computer Science, стр. 76-83. Springer, (2006)Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline., , , , и . CSI@MICCAI, том 11963 из Lecture Notes in Computer Science, стр. 15-28. Springer, (2019)Validation of histology image registration., , , и . Medical Imaging: Image Processing, том 7962 из SPIE Proceedings, стр. 79621E. SPIE, (2011)Image Registration under Varying Illumination: Hyper-Demons Algorithm., и . EMMCVPR, том 5681 из Lecture Notes in Computer Science, стр. 303-316. Springer, (2009)