Semantic segmentation to identify bladder layers from H&E Images
Abstract Background Identification of bladder layers is a necessary prerequisite to bladder cancer diagnosis and prognosis. We present a method of multi-class image segmentation, which recognizes urothelium, lamina propria, muscularis propria, and muscularis mucosa layers as well as regions of red b...
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Main Authors: | , , , , , , |
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Format: | Book |
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BMC,
2020-07-01T00:00:00Z.
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A1234.567 |
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