@inproceedings{2e5b3e21e3e440e79852ffb1b803246f,
title = "A Weakly Supervised Deep Learning Framework for COVID-19 CT Detection and Analysis",
abstract = "The outbreak of the COVID-19 global pandemic has affected millions and has a severe impact on our daily lives. To support radiologists in this overwhelming challenge, we developed a weakly supervised deep learning framework that can detect, localize, and quantify the severity of COVID-19 disease from chest CT scans using limited annotations. The framework is designed to rapidly provide a solution during the initial outbreak of a pandemic when datasets availability is limited. It is comprised of a pipeline of image processing algorithms which includes lung segmentation, 2D slice classification, and fine-grained localization. In addition, we present the Coronascore bio-marker which corresponds to the severity grade of the disease. Finally, we present an unsupervised feature space clustering which can assist in understanding the COVID-19 radiographic manifestations. We present our results on an external dataset comprised of 199 patients from Zhejiang province, China.",
keywords = "AI, COVID-19, Chest CT, Corona, Deep learning, Lung",
author = "Ophir Gozes and Maayan Frid-Adar and Nimrod Sagie and Asher Kabakovitch and Dor Amran and Rula Amer and Hayit Greenspan",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 2nd International Workshop on Thoracic Image Analysis, TIA 2020 Held in Conjunction with Medical Image Computing and Computer-Assisted Intervention Conference, MICCAI 2020 ; Conference date: 08-10-2020 Through 08-10-2020",
year = "2020",
doi = "https://doi.org/10.1007/978-3-030-62469-9_8",
language = "الإنجليزيّة",
isbn = "9783030624682",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "84--93",
editor = "Jens Petersen and {San Jos{\'e} Est{\'e}par}, Ra{\'u}l and Alexander Schmidt-Richberg and Sarah Gerard and Bianca Lassen-Schmidt and Colin Jacobs and Reinhard Beichel and Kensaku Mori",
booktitle = "Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Proceedings",
address = "ألمانيا",
}