Lesion segmentation using 3D scan and deep learning for the evaluation of facial portwine stain birthmarks.

Journal: Photodiagnosis and photodynamic therapy
Published Date: Feb 28, 2024

Abstract

BACKGROUND: Portwine stain (PWS) birthmarks are congenital vascular malformations. The quantification of PWS area is an important step in lesion classification and treatment evaluation.

Authors

  • Cheng Ke
    MOE Key Laboratory of Medical Optoelectronics Science and Technology, School of Optoelectronics and Information Engineering, Fujian Normal University, Fuzhou 350100, PR China.
  • Yuanbo Huang
    Department of Dermatology, Wuxi People's Hospital, Wuxi 214000, PR China.
  • Jun Yang
    Cardiovascular Endocrinology Laboratory, Hudson Institute of Medical Research, Clayton, Victoria, Australia; Department of Medicine, Monash University, Clayton, Victoria, Australia.
  • Yunjie Zhang
    Academy of Clinical Medicine, Guizhou Medical University, Guiyang 550004, China.
  • Huiqi Zhan
    MOE Key Laboratory of Medical Optoelectronics Science and Technology, School of Optoelectronics and Information Engineering, Fujian Normal University, Fuzhou 350100, PR China.
  • Chunfa Wu
    MOE Key Laboratory of Medical Optoelectronics Science and Technology, School of Optoelectronics and Information Engineering, Fujian Normal University, Fuzhou 350100, PR China.
  • Mingye Bi
    Department of Dermatology, Wuxi People's Hospital, Wuxi 214000, PR China.
  • Zheng Huang
    Institute of Laser and Optoelectronics Technology, Fujian Provincial Key Laboratory for Photonics Technology, Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, China.

Keywords

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