Automated Classification of Video Capsule EndoscopyAbnormalities Using DINOv2
Year: 2024
Type: article
Abstract: This project develops a deep learning model utilizing the DINOv2 architecture toautomatically classify abnormalities detected in video capsule endoscopy (VCE) frames.The focus is on ten specific abnormalities, assisting healthcare professionals in diagnosinggastrointestinal disorders efficiently.
Source: Figshare
Author: Avala, Sri Karthik
Language: English
Subfield: Gastroenterology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6958419416
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