@inproceedings{c332c12df120445e8698b280cbb8f984,
title = "Learned pre-processing for automatic diabetic retinopathy detection on eye fundus images",
abstract = "Diabetic Retinopathy is the leading cause of blindness in the working-age population of the world. The main aim of this paper is to improve the accuracy of Diabetic Retinopathy detection by implementing a shadow removal and color correction step as a preprocessing stage from eye fundus images. For this, we rely on recent findings indicating that application of image dehazing on the inverted intensity domain amounts to illumination compensation. Inspired by this work, we propose a Shadow Removal Layer that allows us to learn the pre-processing function for a particular task. We show that learning the pre-processing function improves the performance of the network on the Diabetic Retinopathy detection task.",
keywords = "Color balancing, Diabetic retinopathy detection, Retinal image preprocessing",
author = "Asim Smailagic and Anupma Sharan and Pedro Costa and Adrian Galdran and Alex Gaudio and Aur{\'e}lio Campilho",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 16th International Conference on Image Analysis and Recognition, ICIAR 2019 ; Conference date: 27-08-2019 Through 29-08-2019",
year = "2019",
doi = "10.1007/978-3-030-27272-2\_32",
language = "English",
isbn = "9783030272715",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "362--368",
editor = "Fakhri Karray and Alfred Yu and Aur{\'e}lio Campilho",
booktitle = "Image Analysis and Recognition - 16th International Conference, ICIAR 2019, Proceedings",
address = "Germany",
}