Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI

Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI

<p dir="ltr">Detecting colorectal polyps promptly and accurately is crucial in preventing the progression of colorectal cancer. These polyps cause severe conditions in the colon or rectum, presenting a significant diagnostic challenge. Traditional manual detection through medical ima...

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Bibliographic Details
Main Author: Md. Faysal Ahamed (21842396) (author)
Other Authors: Md. Rabiul Islam (9108985) (author), Md. Nahiduzzaman (17873875) (author), Md. Jawadul Karim (21842399) (author), Mohamed Arselene Ayari (16869978) (author), Amith Khandakar (14151981) (author)
Published: 2024
Subjects:
Engineering
Biomedical engineering
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Localization
segmentation
YOLOv8
TR-SE-Net
squeeze-and-excite network
colonoscopy
deep learning
Kvasir-SEG
CVC-ClinicDB
PolypGen
ETIS-LaribPolypDB
EDD 2020
BKAI-IGH
explainable AI (XAI)
Colonoscopy
Solid modeling
Location awareness
Gastrointestinal tract
Training
Reliability
Real-time systems
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