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Computer-Aided Diagnosis of Ophthalmic Diseases Using OCT Based on Deep Learning: A Review

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Human Centered Computing (HCC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11956))

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Abstract

Deep learning can effectively extract the hidden features of images and has developed rapidly in medical image recognition in recent years. Ophthalmic diseases are one of the critical factors affecting the healthy living. At the same time, optical coherence tomography (OCT) has the characteristics of non-invasive and high-resolution and has become the mainstream imaging technology in the clinical diagnosis of Ophthalmic diseases. Therefore, computer-aided diagnosis of ophthalmic diseases using OCT based on deep learning has caused a wide range of research craze. In this paper, we review the imaging methods and applications of OCT, the OCT public dataset. And we introduce in detail the computer-aided diagnosis system of multiple ophthalmic diseases using OCT in recent years, including age-related macular degeneration, glaucoma, diabetic macular edema and so on, and an overview of the main challenges faced by deep learning in OCT imaging.

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Acknowledgement

This work was supported by the National Key RD Program of China under Grant (2017YFB1400800).

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Authors and Affiliations

  1. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China

    Ruru Zhang, Jiawen He, Shenda Shi, Xiaoyang Kang, Wenjun Chai, Meng Lu, Yu Liu, E. Haihong, Zhonghong Ou & Meina Song

  2. Education Department Information Network Engineering Research Center, Beijing University of Posts and Telecommunications, Beijing, China

    Ruru Zhang, Jiawen He, Shenda Shi, Xiaoyang Kang, Wenjun Chai, Meng Lu, Yu Liu, E. Haihong, Zhonghong Ou & Meina Song

Authors
  1. Ruru Zhang
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  2. Jiawen He
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  3. Shenda Shi
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  4. Xiaoyang Kang
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  5. Wenjun Chai
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  6. Meng Lu
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  7. Yu Liu
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  8. E. Haihong
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  9. Zhonghong Ou
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  10. Meina Song
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Corresponding author

Correspondence to Meina Song .

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Editors and Affiliations

  1. University of Kragujevac, Čačak, Serbia

    Danijela Milošević

  2. South China Normal University, Guangzhou, China

    Yong Tang

  3. Wuhan University of Technology, Wuhan, Hubei, China

    Qiaohong Zu

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Zhang, R. et al. (2019). Computer-Aided Diagnosis of Ophthalmic Diseases Using OCT Based on Deep Learning: A Review. In: Milošević, D., Tang, Y., Zu, Q. (eds) Human Centered Computing. HCC 2019. Lecture Notes in Computer Science(), vol 11956. Springer, Cham. https://doi.org/10.1007/978-3-030-37429-7_63

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  • DOI: https://doi.org/10.1007/978-3-030-37429-7_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37428-0

  • Online ISBN: 978-3-030-37429-7

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