Neonatal Jaundice Assessment: A Dataset of Forehead and Sternum Images for Bilirubin Estimation

Published: 30 May 2024| Version 1 | DOI: 10.17632/yfsz6c36vc.1


This dataset includes images and clinical data aimed at estimating bilirubin levels in newborns to enhance non-invasive neonatal jaundice detection through deep learning. Images were captured using a digital microscope connected to a smartphone via USB, saved in jpg format with a resolution of 640 x 480 pixels. Dataset Contents: Images: Forehead and sternum images of 300 infants, saved in jpg format (640 x 480 pixels). Data Collection Process: Location: Ghaem Hospital, Mashhad, Iran Duration: January 1, 2023 - May 30, 2023 Methodology: TSB levels were determined via blood samples. TcB levels were measured using the MBJ20 bilirubin meter (range: 0 to 32 mg/dL). Images were taken within 30 minutes of TSB and TcB measurements to ensure consistency. Ethics: Approved by the ethical committee at Mashhad University of Medical Sciences (IR.MUMS.MEDICAL.REC.1400.271), with informed written and verbal consent from parents. Usage Notes: This dataset is ideal for researchers focusing on the development and validation of non-invasive methods for bilirubin estimation using image processing. It is particularly useful for studies related to the detection and management of neonatal jaundice.



Mashhad University of Medical Sciences, Imam Reza University


Image Processing, Neonatal Health, Deep Learning, Jaundice