Semantic segmentation to identify bladder layers from H&E Images

• Main Authors: Muhammad Khalid Khan Niazi (Author), Enes Yazgan (Author), Thomas E. Tavolara (Author), Wencheng Li (Author), Cheryl T. Lee (Author), Anil Parwani (Author), Metin N. Gurcan (Author)
• 格式: 圖書
• 出版: BMC, 2020-07-01T00:00:00Z.
• 主題: article
• 在線閱讀: 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...