About this document
Explainable AI for Colorectal Cancer Detection by Leah Rachael is a document available to read on EtoBox.
This document summarizes a systematic review of 25 articles on explainable artificial intelligence in colorectal cancer detection between 2014-2023. The most common AI algorithms were deep neural networks and the most used datasets were operational taxonomic units. Early detection of colorectal cancer is important for effective treatment, and AI is being used to analyze medical images and microbiome data to improve cancer screening and diagnosis. The review found that AI has potential applications in variou
- Author
- Leah Rachael
- Language
- EN