GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection (https://osf.io/84e7f/)
Project COLON-X (Shaping the neXt frontier in intelligent COLONoscopy)
NanoNet: Real-Time Polyp Segmentation in Capsule Endoscopy & Colonoscopy [Contains an open-access capsule endoscopy dataset (2021 IEEE CBMS)]
duodenum tubular adenoma - duodenum tübüler adenom
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.
Colon Submucosal Lipoma - Kolon Submukozal Lipom
Carcinogenesis - Karsinogenez
Crohn Disease Colonoscopic Biopsy - Crohn Hastalığı Kolonoskopik Biyopsi
Dataset associated with our review manuscript on the constitutive modeling of GI tissues
Classification of eight classes of gastrointestinal diseases(namely Dyed-lifted polyps, Dyed-resection margines, Esophagitis, Normal-cecum, Normal pylorus, Normal-Z-line, Polyps and Ulcerative-colitis)
Reactive atypia in an ulcerated colon polyp - Ülsere Kolon Polibinde Reaktif Atipi
Differential Attention-Augmented BiomedCLIP for multi-label VCE classification - ICPR 2026 RARE-VISION Competition submission from MINDH Lab, IIT Hyderabad. Achieves mAP@0.5 of 0.2456 on temporal event detection across 17 anatomical and pathological classes.
Gastritis Cystica Profunda - Gastritis Cystica Profunda
Congo Red - Kongo Kırmızısı
Schwann Cell Hamartoma - Schwann Hücre Hamartomu
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