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Techniques and Applications in Skin OCT Analysis

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Book cover Deep Learning in Medical Image Analysis

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1213))

Abstract

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.

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Author information

Authors and Affiliations

  1. Institute for Health Technologies, Nanyang Technological University, Singapore, Singapore

    Ai Ping Yow & Damon W. K. Wong

  2. SERI-NTU Advanced Ocular Engineering (STANCE), Singapore, Singapore

    Ai Ping Yow, Leopold Schmetterer & Damon W. K. Wong

  3. Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore

    Ai Ping Yow, Leopold Schmetterer & Damon W. K. Wong

  4. Institute for Infocomm Research, A∗STAR, Singapore, Singapore

    Ruchir Srivastava

  5. Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences, Beijing, China

    Jun Cheng & Jiang Liu

  6. Beihang University, Beijing, China

    Annan Li

  7. Southern University of Science and Technology, Shenzhen, China

    Jiang Liu

  8. Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria

    Leopold Schmetterer

  9. Department of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria

    Leopold Schmetterer

  10. National Skin Centre, Singapore, Singapore

    Hong Liang Tey

  11. Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

    Hong Liang Tey

  12. Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore

    Hong Liang Tey

Authors
  1. Ai Ping Yow
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  2. Ruchir Srivastava
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  3. Jun Cheng
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  4. Annan Li
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  5. Jiang Liu
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  6. Leopold Schmetterer
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  7. Hong Liang Tey
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  8. Damon W. K. Wong
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Editor information

Editors and Affiliations

  1. College of Sciences & Engineering, Flinders University, Adelaide, SA, Australia

    Gobert Lee

  2. Faculty of Engineering, Gifu University, Gifu, Japan

    Hiroshi Fujita

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Yow, A.P. et al. (2020). Techniques and Applications in Skin OCT Analysis. In: Lee, G., Fujita, H. (eds) Deep Learning in Medical Image Analysis . Advances in Experimental Medicine and Biology, vol 1213. Springer, Cham. https://doi.org/10.1007/978-3-030-33128-3_10

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