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A Deep Learning-Based Approach Towards Simultaneous Localization of Optic Disc and Fovea from Retinal Fundus Images
Mohammad Tariqul Islam, Ferdaus Ahmed, Mowafa Househ, Tanvir Alam
624 - 627
10.3233/SHTI230575
Research Article
Studies in Health Technology and Informatics
Volume 305: Healthcare Transformation with Informatics and Artificial Intelligence
Abstract

In this work, we propose a multi-task learning-based approach towards the localization of optic disc and fovea from human retinal fundus images using a deep learning-based approach. Formulating the task as an image-based regression problem, we propose a Densenet121-based architecture through an extensive set of experiments with a variety of CNN architectures. Our proposed approach achieved an average mean absolute error of only 13pixels (0.04%), mean squared error of 11 pixels (0.005%), and a root mean square error of only 0.02 (13%) on the IDRiD dataset.

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