About this document
Cancer Detection in GI Images Using MATLAB by Fahim Faysal is a document available to read on EtoBox.
This paper presents a novel approach for detecting cancer in gastrointestinal images using MATLAB, focusing on improving accuracy through advanced image processing techniques. It highlights the limitations of existing diagnostic methods and proposes a model utilizing convolutional neural networks (CNN) for effective segmentation and classification of cancerous images from the kvasir dataset. The study emphasizes the importance of early detection in improving survival rates for gastrointestinal cancers.
- Author
- Fahim Faysal
- Language
- EN