Deep Learning-Based Forearm Subcutaneous Veins Segmentation
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad, Pakistan
2. Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman (UTAR), Kampar, Perak, Malaysia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09758711.pdf?arnumber=9758711
Reference37 articles.
1. An optimal segmentation technique for near-infrared forearm subcutaneous veins;goh;Int J Adv Sci Technol,2020
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3. Depth visualization of a local blood region in skin tissue by use of diffuse reflectance images
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5. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Edge AI-Based Vein Detector for Efficient Venipuncture in the Antecubital Fossa;Advances in Soft Computing;2023-11-09
2. Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets;2023 ACM Conference on Fairness, Accountability, and Transparency;2023-06-12
3. 3D Reconstruction of Forearm Veins Using NIR-Based Stereovision and Deep Learning;2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS);2023-06
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