Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images
Veysel Yusuf Cambay, Prabal Datta Barua, Abdul Hafeez Baig, Sengul Dogan, Mehmet Baygin, Turker Tuncer, U R Acharya, Stefanos Kollias · 2024
Read Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images by Veysel Yusuf Cambay, Prabal Datta Barua, Abdul Hafeez Baig, Sengul Dogan, Mehmet Baygin, Turker Tuncer, U R Acharya, Stefanos Kollias (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11644848.txt.
Description
Veysel Yusuf Cambay and co-authors build, in 2024, a computer system that spots gut diseases in endoscopy images. The system is built on a new variant of a well-known image network, with blocks that mix local detail and a form of attention. Features are drawn from highlighted image regions, then filtered and passed to simple classifiers.
The model organizes itself, trying several classifiers and voting schemes and keeping the best result. Heat maps show which image areas drove each decision, which helps users trust the output. The authors present the design as a step toward fast, explainable help for doctors who read endoscopy images.
Catalog record
| CREATOR | Veysel Yusuf Cambay, Prabal Datta Barua, Abdul Hafeez Baig, Sengul Dogan, Mehmet Baygin, Turker Tuncer, U R Acharya, Stefanos Kollias |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 58 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |