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A Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images
[article]
2022
arXiv
pre-print
The current study of cell architecture of inflammation in histopathology images commonly performed for diagnosis and research purposes excludes a lot of information available on the biopsy slide. In autoimmune diseases, major outstanding research questions remain regarding which cell types participate in inflammation at the tissue level, and how they interact with each other. While these questions can be partially answered using traditional methods, artificial intelligence approaches for
arXiv:2207.06489v5
fatcat:e6unj2fxyzb2lksgvyrrumc3om