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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-07-01
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| Series: | Diagnostic Pathology |
| Online Access: | http://link.springer.com/article/10.1186/s13000-020-01002-1 |