@inproceedings{121a3d6371a049269107325d8da45f59,
title = "GA-based U-Net Architecture Optimization Applied to Retina Blood Vessel Segmentation",
abstract = "Blood vessel extraction in digital retinal images is an important step in medical image analysis for abnormality detection and also obtaining good retinopathy diabetic diagnosis; this is often referred to as the Retinal Blood Vessel Segmentation task and current state-of-the-art approaches all use some form of neural networks. Designing neural network architecture and selecting appropriate hyper-parameters for a specific task is challenging. In recent works, increasingly more complex models are starting to appear, but in this work, we present a simple and small model with a very low number of parameters with good performance compared with the state of the art algorithms. In particular, we choose a standard Genetic Algorithm (GA) for selecting the parameters of the model and we use an expert-designed U-net based model, which has become a very popular tool in image segmentation problems. Experimental results show that GA is able to find a much shorter architecture and acceptable accuracy compared to the U-net manually designed. This finding puts on the right track to be able in the future to implement these models in portable applications.",
keywords = "Deep Learning, Image Segmentation, U-Net",
author = "Vipul Popat and Mahsa Mahdinejad and Cede{\~n}o, {Oscar S.Dalmau} and Enrique Naredo and Conor Ryan",
note = "Publisher Copyright: {\textcopyright} 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.; 12th International Joint Conference on Computational Intelligence, IJCCI 2020 ; Conference date: 02-11-2020 Through 04-11-2020",
year = "2020",
doi = "10.5220/0010112201920199",
language = "English",
isbn = "9789897584756",
series = "International Joint Conference on Computational Intelligence",
publisher = "Science and Technology Publications, Lda",
pages = "192--199",
editor = "Merelo, {Juan Julian} and Jonathan Garibaldi and Christian Wagner and Thomas B{\"a}ck and Kurosh Madani and Kevin Warwick",
booktitle = "Proceedings of the 12th International Joint Conference on Computational Intelligence, IJCCI 2020",
}