Techniques and Applications in Skin OCT Analysis

Ai Ping Yow, Ruchir Srivastava, Jun Cheng, Annan Li, Jiang Liu, Leopold Schmetterer, Hong Liang Tey, Damon W.K. Wong

Research output: Chapter in Book/Conference proceedingBook Chapterpeer-review

10 Citations (Scopus)


The skin is the largest organ of our body. Skin disease abnormalities which occur within the skin layers are difficult to examine visually and often require biopsies to make a confirmation on a suspected condition. Such invasive methods are not well-accepted by children and women due to the possibility of scarring. Optical coherence tomography (OCT) is a non-invasive technique enabling in vivo examination of sub-surface skin tissue without the need for excision of tissue. However, one of the challenges in OCT imaging is the interpretation and analysis of OCT images. In this review, we discuss the various methodologies in skin layer segmentation and how it could potentially improve the management of skin diseases. We also present a review of works which use advanced machine learning techniques to achieve layers segmentation and detection of skin diseases. Lastly, current challenges in analysis and applications are also discussed.

Original languageEnglish
Title of host publicationAdvances in Experimental Medicine and Biology
Number of pages15
Publication statusPublished - 2020
Externally publishedYes

Publication series

NameAdvances in Experimental Medicine and Biology
ISSN (Print)0065-2598
ISSN (Electronic)2214-8019


  • Basal cell carcinoma (BCC)
  • Deep learning
  • Dermal-epidermal junction (DEJ)
  • Dermis
  • Epidermis
  • Graph
  • Optical coherence tomography (OCT)
  • Roughness
  • Segmentation
  • Skin

ASJC Scopus subject areas

  • General Biochemistry,Genetics and Molecular Biology


Dive into the research topics of 'Techniques and Applications in Skin OCT Analysis'. Together they form a unique fingerprint.

Cite this