Hybrid deep learning model for automated colorectal cancer detection using local and global feature extraction
İshak Paçal(Iğdır Üniversitesi), Omneya Attallah(Arab Academy for Science, Technology, and Maritime Transport)
Cited by 56
Related Papers
A comprehensive review of deep learning in colon cancer
|Computers in Biology and Medicine|2020|279
A systematic review of deep learning techniques for plant diseases
|Artificial Intelligence Review|2024|183
A robust real-time deep learning based automatic polyp detection system
|Computers in Biology and Medicine|2021|163
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets
|Computers in Biology and Medicine|2021|155
Enhancing crop productivity and sustainability through disease identification in maize leaves: Exploiting a large dataset with an advanced vision transformer model
|Expert Systems with Applications|2023|146