jScan: Smartphone-Assisted Bilirubin Quantification and Jaundice Screening

Article Engineering, Biomedical

A Novel Optical Assay System for Bilirubin Concentration Measurement in Whole Blood

Jean Pierre Ndabakuranye et al.

Summary: This study investigates the feasibility of measuring bilirubin concentration in whole porcine blood samples using dual-wavelength transmission measurement. A compact and low-cost measurement setup is developed and optimized for point-of-care monitoring of blood bilirubin outside of medical facilities.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2022)

添加到收藏夹

Article Engineering, Biomedical

Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care

Madeleine Flaucher et al.

Summary: This study proposes an automated pipeline for urinalysis using smartphone camera images in home environments. It utilizes image processing and color combination techniques to accurately detect and analyze urine test strips. The results show that this method improves accuracy, reduces human error, and alleviates the workload of medical staff.

IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE (2022)

添加到收藏夹

Article Engineering, Electrical & Electronic

Direct Bilirubin Detection Using Surface-Enhanced Raman Spectroscopy

Cheng-Yi Li et al.

Summary: The study introduced a novel method for detecting direct bilirubin by Raman spectroscopy using composite SERS chips, which significantly improved the detection limit, covered a wide detection range, and showed good reproducibility.

IEEE SENSORS JOURNAL (2021)

添加到收藏夹

Article Radiology, Nuclear Medicine & Medical Imaging

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

Zheng Wang et al.

Summary: The study presents a novel approach for multi-class recognition of jaundice, addressing critical difficulties and subtle complexities in identifying occult jaundice, obvious jaundice, and healthy controls. By developing and training region annotation networks and an efficient jaundice recognizer, and unifying them through shared convolutional layers, the proposed method outperformed state-of-the-art convolutional neural networks and human observers in detecting jaundice, demonstrating the potential for practical applications in clinical settings.

JOURNAL OF DIGITAL IMAGING (2021)

添加到收藏夹

Article Chemistry, Analytical

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

Alhanoof Althnian et al.

Summary: Neonatal jaundice is a common condition that requires timely diagnosis and treatment to prevent serious complications. This study utilized deep transfer learning approach and compared it with traditional machine learning models, indicating that the transfer learning model performed the best with skin images.

SENSORS (2021)

添加到收藏夹

Article Computer Science, Information Systems