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Exploring Artificial Intelligence Methods for the Automatic Measurement of a New Biomarker Aiming at Glaucoma Diagnosis

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Intelligent Systems (BRACIS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14197))

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Abstract

Using technologies capable of providing retina structure high-resolution images is one of the most widespread means of identifying structural changes that may indicate the onset or progression of visual impairment. Automated glaucoma detection using optical coherence tomography is still considered an area needing further research. Several manual analyzes are currently performed over the generated by imaging equipment. This work presents an approach to foster automatic glaucoma evaluation considering convolutional neural networks for semantic segmentation of retinal layers through optical coherence tomography images and image processing for measuring the cup region in the optic nerve head portion. We provide a quantitative evaluation comparing the results obtained by a specialist physician. The work’s main contribution consists of the first approach supporting the automation of a new biomarker for diagnosing glaucoma.

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Notes

  1. 1.

    To Table 1 and Table 2, was abbreviate some columns. Meaning of: T: Total images, Q1: Quantity of train images, and Q2: Quantity of test images.

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Authors and Affiliations

  1. Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil

    Gabriel C. Fernandes, Fabio Lavinsky, Sandro José Rigo & Henrique C. Bohn

Authors
  1. Gabriel C. Fernandes
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  2. Fabio Lavinsky
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  3. Sandro José Rigo
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  4. Henrique C. Bohn
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Corresponding author

Correspondence to Gabriel C. Fernandes .

Editor information

Editors and Affiliations

  1. Federal University of São Carlos, São Carlos, Brazil

    Murilo C. Naldi

  2. Centro Universitario da FEI, São Bernardo do Campo, Brazil

    Reinaldo A. C. Bianchi

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Fernandes, G.C., Lavinsky, F., Rigo, S.J., Bohn, H.C. (2023). Exploring Artificial Intelligence Methods for the Automatic Measurement of a New Biomarker Aiming at Glaucoma Diagnosis. In: Naldi, M.C., Bianchi, R.A.C. (eds) Intelligent Systems. BRACIS 2023. Lecture Notes in Computer Science(), vol 14197. Springer, Cham. https://doi.org/10.1007/978-3-031-45392-2_30

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  • DOI: https://doi.org/10.1007/978-3-031-45392-2_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-45391-5

  • Online ISBN: 978-3-031-45392-2

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