Enhanced hand vein segmentation using generative adversarial network integrated with modified ECA module

Hand vein image segmentation is crucial for diverse applications such as precise biometric identification and facilitating medical intravenous procedures. This paper introduces an enhanced hand vein image segmentation method utilizing deep learning, specifically a conditional generative adversarial...

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Bibliographic Details

Main Authors:	Marlina, Yakno, Mohd Zamri, Ibrahim, Muhammad Salihin, Saealal, Norasyikin, Fadilah, Wan Nur Azhani, Wan Samsudin
Format:	Article
Language:	en
Published:	ECTI Association 2025
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/44346/1/Enhanced%20hand%20vein%20segmentation%20using%20generative%20adversarial%20network.pdf http://umpir.ump.edu.my/id/eprint/44346/ https://doi.org/10.37936/ecti-cit.2025192.259390
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