GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing
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GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing
NanoNet: Real-Time Polyp Segmentation in Capsule Endoscopy & Colonoscopy [Contains an open-access capsule endoscopy dataset (2021 IEEE CBMS)]
Dataset associated with our review manuscript on the constitutive modeling of GI tissues
This project aims to develop a deep learning model for segmenting the stomach and intestines in MRI scans of cancer patients, improving radiation targeting and reducing manual intervention.
deep Learning methods for precise stomach and intestines segmentation in gastrointestinal cancer imaging
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