jScan: Smartphone-Assisted Bilirubin Quantification and Jaundice Screening-Reference-Cited by-同舟云学术

jScan: Smartphone-Assisted Bilirubin Quantification and Jaundice Screening

Published:2023-11-01 Issue:21 Volume:23 Page:26654-26661
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Prajapati Jyoti¹,Das Debanjan²^ORCID,Udutalapally Venkanna³,Mahapatra Rajarshi²,Wasnik Preetam Narayan⁴

Affiliation:

1. Department of Computer Science Engineering, IIIT Naya Raipur, Naya Raipur, Chhattisgarh, India

2. Department of Electronics and Communication Engineering, IIIT Naya Raipur, Naya Raipur, Chhattisgarh, India

3. Department of Computer Science and Engineering, Indian Institute of Information Technology Design and Manufacturing Kurnool, Kurnool, Andhra Pradesh, India

4. General Medicine Department, AIIMS Raipur, Raipur, Chhattisgarh, India

Funder

Ministry of Electronics and Information Technology (MeitY), Government of India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10302460/10258028.pdf?arnumber=10258028

Reference23 articles.

1. R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks

2. Non-Invasive Bilirubin Level Quantification and Jaundice Detection by Sclera Image Processing

3. Deep learning approach for early diagnosis of jaundice;kalbande;Proc Int Conf Innov Comput Commun (ICICC),2022

4. Non-invasive early diagnosis of jaundice with computer vision

Cited by 1 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. Real-Time Jaundice Detection in Neonates Based on Machine Learning Models;BioMedInformatics;2024-02-24