Optimal integration of improved ECA module in cGAN architecture for hand vein segmentation

Segmentation of hand vein images is crucial for various applications, including precise biometric identification and facilitating medical intravenous procedures. This study introduces a method for hand vein image segmentation using deep learning, specifically a conditional generative adversarial net...

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Bibliographic Details

Main Authors:	Yakno, Marlina, Mohd Zamri, Ibrahim, Saealal, Muhammad Salihin, Fadilah, Norasyikin, Samsudin, Wan NUr Azhani W.
Format:	Conference or Workshop Item
Language:	en
Published:	2024
Online Access:	http://eprints.utem.edu.my/id/eprint/29113/1/Optimal%20Integration%20of%20Improved%20ECA%20Module%20in%20cGAN%20Architecture%20for%20Hand%20Vein%20Segmentation.pdf http://eprints.utem.edu.my/id/eprint/29113/ https://ieeexplore.ieee.org/document/10845353
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