Deep Learning Models Delineates Multiple Nuclear Phenotypes in H&E Stained Histology Sections

13 Feb 2018 Mina Khoshdeli Bahram Parvin

Nuclear segmentation is an important step for profiling aberrant regions of histology sections. However, segmentation is a complex problem as a result of variations in nuclear geometry (e.g., size, shape), nuclear type (e.g., epithelial, fibroblast), and nuclear phenotypes (e.g., vesicular, aneuploidy)... (read more)

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