@inproceedings{6cfe2b53130149cb9b9c43e0703823be,
title = "A Deep Learning-Based Approach Towards Simultaneous Localization of Optic Disc and Fovea from Retinal Fundus Images",
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.",
keywords = "Fovea, Optic Disc, Qatar Biobank, Retina",
author = "Islam, {Mohammad Tariqul} and Ferdaus Ahmed and Mowafa Househ and Tanvir Alam",
note = "Publisher Copyright: {\textcopyright} 2023 The authors and IOS Press.; 21st International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2023 ; Conference date: 01-07-2023 Through 03-07-2023",
year = "2023",
month = jun,
day = "29",
doi = "10.3233/SHTI230575",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "624--627",
editor = "John Mantas and Parisis Gallos and Emmanouil Zoulias and Arie Hasman and Househ, {Mowafa S.} and Martha Charalampidou and Andriana Magdalinou",
booktitle = "Healthcare Transformation with Informatics and Artificial Intelligence",
address = "Netherlands",
}