Early Prediction of Neonatal Jaundice using Artificial Intelligence Techniques-Reference-Cited by-同舟云学术

Early Prediction of Neonatal Jaundice using Artificial Intelligence Techniques

Published:2022-02-23 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)
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Author:

Kumar Yogesh¹,Patel Nimisha P.¹,Koul Apeksha²,Gupta Anish³

Affiliation:

1. Indus University,Department of Computer Science and Engineering,Ahmedabad,Gujarat,India

2. Punjabi University,Department of Computer Science and Engineering,Patiala,Punjab,India

3. Apex Institute of Technology, Chandigarh University,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9752773/9753815/09753884.pdf?arnumber=9753884

Reference35 articles.

1. Neonatal Jaundice Diagnosis Using a Smartphone Camera Based on Eye, Skin, and Fused Features with Transfer Learning

2. Detecting jaundice by using digital image processing;castro-ramos;Three-Dimensional and Multidimensional Microscopy Image Acquisition and Processing Xxi,2014

3. A Novel Non-invasive Technique of Measuring Bilirubin Levels Using BiliCapture

4. Smartphone screening for neonatal jaundice via ambient-subtracted sclera chromaticity

5. A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis

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