Deep Learning-Based OCT Segmentation for Stiffness Quantification in Evaluating Low-Level Laser Therapy for Wound Healing.

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Bibliographic Details
Title: Deep Learning-Based OCT Segmentation for Stiffness Quantification in Evaluating Low-Level Laser Therapy for Wound Healing.
Authors: Ramadhan GT; Department of Informatics, Tiga Serangkai University, Surakarta, Indonesia., Jan YK; Rehabilitation Engineering Lab, Department of Health and Kinesiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA., Liau BY; Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan., Cheng HT; Division of Plastic and Reconstructive Surgery, Department of Surgery, Asia University Hospital, Asia University College of Medical and Health Science, Taichung, Taiwan.; Department of Food Nutrition and Health Biotechnology, Asia University, Taichung, Taiwan., Shen WC; Department of Creative Product Design, Asia University, Taichung, Taiwan., Tai CC; School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan., Pravin SC; School of Electronics Engineering, Vellore Institute of Technology, Chennai, India., Venkataramani K; School of Electronics Engineering, Vellore Institute of Technology, Chennai, India., Lee WC; School of Mechanical, Materials, Mechatronics and Biomedical Engineering, University of Wollongong, Wollongong, Australia., Ching CTS; Graduate Institute of Biomedical Engineering, National Chung Hsing University, Taichung, Taiwan., Lung CW; Rehabilitation Engineering Lab, Department of Health and Kinesiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.; Department of Creative Product Design, Asia University, Taichung, Taiwan.
Source: Journal of biophotonics [J Biophotonics] 2026 Jun; Vol. 19 (6), pp. e70291.
Publication Type: Journal Article; Randomized Controlled Trial
Journal Info: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101318567 Publication Model: Print Cited Medium: Internet ISSN: 1864-0648 (Electronic) Linking ISSN: 1864063X NLM ISO Abbreviation: J Biophotonics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1864-0648
DOI:10.1002/jbio.70291