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

Published: 30 May 2024| Version 1 | DOI: 10.17632/yfsz6c36vc.1
Contributors:
,
, Raheleh Faramarzi

Description

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.

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Institutions

  • Mashhad University of Medical Sciences
  • Imam Reza University

Categories

Image Processing, Neonatal Health, Deep Learning, Jaundice

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