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Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps.

, , , , , and . CARE@MICCAI, volume 10170 of Lecture Notes in Computer Science, page 59-71. Springer, (2016)

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Scale-Adaptive Texture Classification., , and . ICPR, page 2643-2648. IEEE Computer Society, (2014)A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney., , , , and . GCPR, volume 10496 of Lecture Notes in Computer Science, page 3-13. Springer, (2017)Segmenting renal whole slide images virtually without training data., , , , , and . Comput. Biol. Medicine, (2017)Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential., , and . CoRR, (2020)Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study., , and . ECDP, volume 11435 of Lecture Notes in Computer Science, page 38-46. Springer, (2019)Problems in Distortion Corrected Texture Classification and the Impact of Scale and Interpolation., , , and . ICIAP (1), volume 8156 of Lecture Notes in Computer Science, page 513-522. Springer, (2013)Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability., , , , and . ICISP, volume 10884 of Lecture Notes in Computer Science, page 461-469. Springer, (2018)Evaluation of Multi-Scale Multiple Instance Learning to Improve Thyroid Cancer Classification., , , , , , , and . IPTA, page 1-6. IEEE, (2022)Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology., , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 215-224. PMLR, (2019)Robust algorithm for automated microindentation measurement in Vickers hardness testing., , and . J. Electronic Imaging, 21 (2): 021109 (2012)