Neonatal jaundice detection using a vision transformer-based deep learning model.
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| Title: | Neonatal jaundice detection using a vision transformer-based deep learning model. |
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| Authors: | Lotfi M; Biomaterials Group, Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran., Rabiee M; Biomaterials Group, Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran. mrabiee@aut.ac.ir., Nazarpak MH; Biomaterials Group, Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran., Sangesari R; Division of Neonatology, Department of Pediatrics, Pediatric Center of Excellence, Faculty of Medicine, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran., Alishahi N; Biomaterials Group, Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran., Azimi MS; Department of Medical Radiation Engineering, Shahid Beheshti University, Tehran, Iran. saber.azimi2020@gmail.com. |
| Source: | Scientific reports [Sci Rep] 2026 Feb 16; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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