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CNNs for Automatic Glaucoma Assessment using Fundus Images: An Extensive Validation

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posted on 2019-03-15, 12:34 authored by Andres Diaz-PintoAndres Diaz-Pinto, Sandra Morales, Valery Naranjo, Thomas Köhler, Jose M. Mossi, Amparo Navea
A new clinical database, ACRIMA, has been made publicly available, containing 705 labelled images. It is composed of 396 glaucomatous images and 309 normal images. Additionally, python scripts used to obtain the presented results are also available.

Funding

Ministerio de Economía y Competitividad of Spain - ACRIMA project (TIN2013-46751-R)

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    Keywords

    GlaucomaACRIMA databaseFundus ImagesCNNFine-TuningBiomedical Engineering not elsewhere classified

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    CC BY 4.0

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