Artificial Intelligence Techniques for Prostate Cancer Detection through Dual-Channel Tissue Feature Engineering

Artificial Intelligence Techniques for Prostate Cancer Detection through Dual-Channel Tissue Feature Engineering

The optimal diagnostic and treatment strategies for prostate cancer (PCa) are constantly changing. Given the importance of accurate diagnosis, texture analysis of stained prostate tissues is important for automatic PCa detection. We used artificial intelligence (AI) techniques to classify dual-chann...

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Bibliographic Details
Main Authors: Cho-Hee Kim, Subrata Bhattacharjee, Deekshitha Prakash, Suki Kang, Nam-Hoon Cho, Hee-Cheol Kim, Heung-Kook Choi
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Cancers
Subjects:
artificial intelligence
tissue feature engineering
dual-channel
prostate cancer
texture analysis
binary classification
Online Access:https://www.mdpi.com/2072-6694/13/7/1524

Internet

https://www.mdpi.com/2072-6694/13/7/1524

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