Related references
Note: Only part of the references are listed.A Novel Optical Assay System for Bilirubin Concentration Measurement in Whole Blood
Jean Pierre Ndabakuranye et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2022)
Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care
Madeleine Flaucher et al.
IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE (2022)
Direct Bilirubin Detection Using Surface-Enhanced Raman Spectroscopy
Cheng-Yi Li et al.
IEEE SENSORS JOURNAL (2021)
R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks
Zheng Wang et al.
JOURNAL OF DIGITAL IMAGING (2021)
Neonatal Jaundice Diagnosis Using a Smartphone Camera Based on Eye, Skin, and Fused Features with Transfer Learning
Alhanoof Althnian et al.
SENSORS (2021)
An Adaptive Colour Calibration for Crowdsourced Images in Heritage Preservation Science
Miguel Antonio Barbero-Alvarez et al.
IEEE ACCESS (2020)
Skin Cancer Diagnostics with an All-Inclusive Smartphone Application
Upender Kalwa et al.
SYMMETRY-BASEL (2019)
Non-Invasive Bilirubin Level Quantification and Jaundice Detection by Sclera Image Processing
Md Messal Monem Miah et al.
2019 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC) (2019)
Evidence based physical diagnosis, 2nd edn
S. Gonem
CLINICAL MEDICINE (2013)
Urinalysis in Western culture: A brief history
J. A. Armstrong
KIDNEY INTERNATIONAL (2007)
Robust real-time face detection
P Viola et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2004)
Conjunctival icterus
JJ Kuiper
ANNALS OF INTERNAL MEDICINE (2001)