Classification of neonatal jaundice in mobile application with noninvasive image processing methods
Author:
Publisher
The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM)
Subject
Electrical and Electronic Engineering,General Computer Science
Cited by 7 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. Comparative Analysis of Classification of Neonatal Bilirubin by Using Various Machine Learning Approaches;Cureus;2024-06-09
2. Deep Learning-Based Intelligent Model for Neonatal Cyanosis Identification Using SSGNN;2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT);2023-11-20
3. Jaundice Recognition in Newborn Face, Chest and Abdomen using Spatial and Spectral Domain Graph Neural Network;2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT);2023-05-05
4. Neonatal Jaundice Identification Over the Face and Sclera using Graph Neural Networks;2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT);2023-01-23
5. Validation of a smartphone‐based screening tool (Biliscan) for neonatal jaundice in a multi‐ethnic neonatal population;Journal of Paediatrics and Child Health;2022-11-28
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