Automated Gleason Grading and Gleason Pattern Region Segmentation Based on Deep Learning for Pathological Images of Prostate Cancer

Automated Gleason Grading and Gleason Pattern Region Segmentation Based on Deep Learning for Pathological Images of Prostate Cancer

Prostate cancer is the second-deadliest cancer in men in the United States, seriously affecting people's life and health. The Gleason grading system is one of the most reliable methods to quantify the invasiveness of prostate cancer, which is of great significance for risk assessment and treatm...

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Bibliographic Details
Main Authors: Yuchun Li, Mengxing Huang, Yu Zhang, Jing Chen, Haixia Xu, Gang Wang, Wenlong Feng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Prostate cancer
gleason grading
image segmentation
deep learning
atrous spatial pyramid pooling
computer-aided diagnosis
Online Access:https://ieeexplore.ieee.org/document/9126781/

Internet

https://ieeexplore.ieee.org/document/9126781/

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