@inproceedings{bdde5ac61f1541fa8b6a5d921e1db5ee,
title = "Semantic Segmentation of the Lung to Examine the Effect of COVID-19 Using UNET Model",
keywords = "CNN, Covid-19, Medical Imaging, Semantic Segmentation, Unet Model",
author = "Oluwatobi Akinlade and Edlira Vakaj and Amna Dridi and Sanju Tiwari and Fernando Ortiz-Rodriguez",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 5th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2022 ; Conference date: 22-12-2022 Through 23-12-2022",
year = "2023",
doi = "10.1007/978-3-031-34222-6_5",
language = "English",
isbn = "9783031342219",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "52--63",
editor = "M.A. Jabbar and Fernando Ortiz-Rodr{\'i}guez and Sanju Tiwari and Patrick Siarry",
booktitle = "Applied Machine Learning and Data Analytics - 5th International Conference, AMLDA 2022, Revised Selected Papers",
}