A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images

A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images

One of the foremost causes of death in males worldwide is prostate cancer. The identification, detection and diagnosis of the same is very crucial in saving lives. In this paper, we present an efficient gland segmentation model using digital histopathology and deep learning. These methods have the p...

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Bibliografski detalji
Glavni autori: Mahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar, Sarvesh Bhandary, Massimo Salvi, Ravinesh C. Deo, Prabal Datta Barua, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya
Format: Članak
Jezik:English
Izdano: IEEE 2023-01-01
Serija:IEEE Access
Teme:
Prostate cancer
image processing
histopathology images
digital image analysis
computational pathology
artificial intelligence
Online pristup:https://ieeexplore.ieee.org/document/10268413/

Internet

https://ieeexplore.ieee.org/document/10268413/

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