Classification of Gastrointestinal Diseases of Stomach from WCE Using Improved Saliency-Based Method and Discriminant Feature Selection
Published in Multimedia Tools and Applications (Springer), 2019
Authors:
Muhammad Attique Khan, Muhammad Rashid, Muhammad Sharif, Kashif Javed, Tallha Akram
This work presents a framework for classification of gastrointestinal diseases from wireless capsule endoscopy (WCE) images using an improved saliency-based segmentation approach combined with discriminant feature selection. The method enhances classification performance by focusing on relevant regions and selecting the most informative features.
Contributions 📃
- A framework for automated GI disease classification using WCE images.
- Improved saliency-based segmentation for extracting relevant regions.
- Use of discriminant feature selection to enhance classification performance.
- Evaluation on medical image datasets with improved classification accuracy.
📖 Citation (BibTeX)
@article{khan2019classification,
title = {Classification of Gastrointestinal Diseases of Stomach from WCE Using Improved Saliency-Based Method and Discriminant Feature Selection},
author = {Khan, Muhammad Attique and Rashid, Muhammad and Sharif, Muhammad and Javed, Kashif and Akram, Tallha},
journal = {Multimedia Tools and Applications},
year = {2019},
publisher = {Springer},
doi = {10.1007/s11042-019-07875-9}
}