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Multi-class single-label classification of histopathological whole-slide images.

, , , and . ISBI, page 1392-1396. IEEE, (2016)

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Multi-class single-label classification of histopathological whole-slide images., , , and . ISBI, page 1392-1396. IEEE, (2016)Whither systems medicine?, , , , , , , , , and 1 other author(s). Experimental & molecular medicine, 50 (3): e453--e453 (2018)Detection of lobular structures in normal breast tissue., , , , , , , and . Comput. Biol. Medicine, (2016)Graph-based description of tertiary lymphoid organs at single-cell level., , , , , , , and . PLoS Comput. Biol., (2020)An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images., , , , , and . CoRR, (2020)Machine learning-based analysis of glioma tissue sections: a review., , , , , , , , , and 2 other author(s). CoRR, (2024)Synthesizing whole slide images., , , , and . ISPA, page 154-159. IEEE, (2015)Scalable HEVC for Histological Whole-Slide Image Compression., , , , , , , and . Bildverarbeitung für die Medizin, page 315-321. Springer, (2020)HistoStarGAN: A unified approach to stain normalisation, stain transfer and stain invariant segmentation in renal histopathology., , , and . Knowl. Based Syst., (October 2023)Stain unmixing in brightfield multiplexed immunohistochemistry., , , , , and . ICIP, page 1125-1129. IEEE, (2013)