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Pervasive Aided Screening System of Multiple Sclerosis from Retinal OCT Images

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Computer-Human Interaction Research and Applications (CHIRA 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2371))

Abstract

Multiple Sclerosis (MS) is a neurodegenerative disease. As an irreversible disease, the MS screening in early stage is highly recommended. Several works suggested to diagnose MS from the retinal Optical Coherence Tomography (OCT) images, which implies layer thickness. However, a delay on MS screening is registered, caused by the unavailability of medical equipment and the low-rate of medical staff.

We propose in this paper a novel method for MS screening from OCT images captured by a pervasive devices. The main challenges is to insure a higher accurate MS screening through a processing workflow executed into smartphone device. For this purpose, we fine tune the convolutive deep neural network “Inception-V4” to extract features from OCT images, which are provided to an Extreme Learning Machine (ELM) classifier to deduce MS disease. A cross-validation process is conducted where 92.00% accuracy, 94.00% sensitivity, 90.00% specificity and 90.38% precision in average are achieved. In addition, the whole method is implemented into a mobile device, where execution time is under one second whatever the OCT image is, which is adequate to employ screening on clinical context.

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Authors and Affiliations

  1. Higher Institute of Computer Science and Communication Technologies of Sousse, University of Sousse, Sousse, Tunisia

    Sabrin Ouni, Yaroub Elloumi & Raoudha Ben Djemaa

  2. Medical Technology and Image Processing Laboratory, Faculty of Medicine, University of Monastir, Monastir, Tunisia

    Sabrin Ouni & Yaroub Elloumi

  3. Miracl Laboratory, Higher Institute of Computer Science and Communication Technology, University of Sousse, Sousse, Tunisia

    Raoudha Ben Djemaa

Authors
  1. Sabrin Ouni
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  2. Yaroub Elloumi
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  3. Raoudha Ben Djemaa
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Corresponding author

Correspondence to Yaroub Elloumi .

Editor information

Editors and Affiliations

  1. IT - Institute of Telecommunications, Instituto Superior Técnico, Lisbon, Portugal

    Hugo Plácido da Silva

  2. University of Turin, Turin, Italy

    Pietro Cipresso

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Ouni, S., Elloumi, Y., Djemaa, R.B. (2025). Pervasive Aided Screening System of Multiple Sclerosis from Retinal OCT Images. In: Plácido da Silva, H., Cipresso, P. (eds) Computer-Human Interaction Research and Applications. CHIRA 2024. Communications in Computer and Information Science, vol 2371. Springer, Cham. https://doi.org/10.1007/978-3-031-83845-3_29

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  • DOI: https://doi.org/10.1007/978-3-031-83845-3_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-83844-6

  • Online ISBN: 978-3-031-83845-3

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