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Author: Pedro Furtado

Affiliation: DEI/CISUC, Universidade de Coimbra, Polo II, Coimbra, Portugal

ISBN: 978-989-758-490-9

ISSN: 2184-4305

Keyword(s): Deep Learning, Segmentation, Medical Images.

Abstract: Deep segmentation networks are increasingly used in medical imaging, including detection of Diabetic Retinopathy lesions from eye fundus images (EFI). In spite of very high scores in most EFI analysis tasks, segmentation measured as precise delineation of instances of lesions still involves some challenges and deserves analysis of metrics and comparison with prior deep learning approaches. We build and confront state-of-the-art deep learning segmentation networks with prior results, showing up to 15 percentage points improvement in sensitivity, depending on the lesion. But we also show the importance of metrics and that many frequently used metrics can be deceiving in this context. We use visual and numeric evidence to show why there is still ample space for further improvements of semantic segmentation quality in the context of EFI lesions.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Furtado, P. (2021). Using Segmentation Networks on Diabetic Retinopathy Lesions: Metrics, Results and Challenges. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, ISBN 978-989-758-490-9 ISSN 2184-4305, pages 128-135. DOI: 10.5220/0010208501280135

@conference{bioimaging21,
author={Pedro Furtado.},
title={Using Segmentation Networks on Diabetic Retinopathy Lesions: Metrics, Results and Challenges},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING,},
year={2021},
pages={128-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010208501280135},
isbn={978-989-758-490-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING,
TI - Using Segmentation Networks on Diabetic Retinopathy Lesions: Metrics, Results and Challenges
SN - 978-989-758-490-9
IS - 2184-4305
AU - Furtado, P.
PY - 2021
SP - 128
EP - 135
DO - 10.5220/0010208501280135

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