Semantic segmentation to identify bladder layers from H&E Images

• Váldodahkkit: Muhammad Khalid Khan Niazi (Dahkki), Enes Yazgan (Dahkki), Thomas E. Tavolara (Dahkki), Wencheng Li (Dahkki), Cheryl T. Lee (Dahkki), Anil Parwani (Dahkki), Metin N. Gurcan (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: BMC, 2020-07-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

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...