Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation

Abstract The early detection of colorectal polyps is crucial for the reduction of mortality rates. However, manually identifying polyps is time-consuming and expensive, increasing the risk of missing them. Our paper aims to address this issue by presenting an automated segmentation approach for colo...

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Egile Nagusiak:	Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani, M. Murugappan
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Springer Nature 2024-04-01
Saila:	Human-Centric Intelligent Systems
Gaiak:	Colonoscopy Polyp Attention gate MultiResUNet Test Time Augmentation (TTA) Segmentation
Sarrera elektronikoa:	https://doi.org/10.1007/s44230-024-00067-1
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