A Deep Learning Pipeline for Grade Groups Classification Using Digitized Prostate Biopsy Specimens

A Deep Learning Pipeline for Grade Groups Classification Using Digitized Prostate Biopsy Specimens

Prostate cancer is a significant cause of morbidity and mortality in the USA. In this paper, we develop a computer-aided diagnostic (CAD) system for automated grade groups (GG) classification using digitized prostate biopsy specimens (PBSs). Our CAD system aims to firstly classify the Gleason patter...

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Bibliographic Details
Main Authors: Kamal Hammouda, Fahmi Khalifa, Moumen El-Melegy, Mohamed Ghazal, Hanan E. Darwish, Mohamed Abou El-Ghar, Ayman El-Baz
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
deep learning
classification
grade groups
CAD system
prostate cancer
Online Access:https://www.mdpi.com/1424-8220/21/20/6708

Internet

https://www.mdpi.com/1424-8220/21/20/6708

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