An optimal way of subcutaneous vein detection using CNN: U-Net
Intravenous (IV) procedures are usually performed by nurses and medical practitioners through the patient’s veins. This is either to obtain blood samples or to administer drugs that cannot be taken orally. However, it has become an increasing concern since there are several factors affecting intrave...
Saved in:
Main Author: | Thong, Adrian Kheng Hoeng |
---|---|
Format: | Final Year Project / Dissertation / Thesis |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utar.edu.my/4635/1/fyp_CS_2022_TAKH.pdf http://eprints.utar.edu.my/4635/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A near infrared image of forearm subcutaneous vein extraction using U-Net
by: Abdul Kadir, Nuraini Huda, et al.
Published: (2022) -
A near infrared image of forearm subcutaneous vein extraction using u-net
by: Abdul Kadir, N. H., et al.
Published: (2021) -
Subcutaneous veins detection and backprojection method using Frangi vesselness filter
by: Shahzad, Aamir, et al.
Published: (2015) -
An optimal near-infrared subcutaneous vein extraction using deep learning.
by: Chan, Xiao Jing
Published: (2022) -
A Review on Subcutaneous Veins Localization Using Imaging Techniques
by: Shahzad, Aamir, et al.
Published: (2014)