@inproceedings{019d84c6169d4fa995818b62e65c03a4,
title = "Labeling of Multilingual Breast MRI Reports",
abstract = "Medical reports are an essential medium in recording a patient{\textquoteright}s condition throughout a clinical trial. They contain valuable information that can be extracted to generate a large labeled dataset needed for the development of clinical tools. However, the majority of medical reports are stored in an unregularized format, and a trained human annotator (typically a doctor) must manually assess and label each case, resulting in an expensive and time consuming procedure. In this work, we present a framework for developing a multilingual breast MRI report classifier using a custom-built language representation called LAMBR. Our proposed method overcomes practical challenges faced in clinical settings, and we demonstrate improved performance in extracting labels from medical reports when compared with conventional approaches.",
keywords = "Breast MRI, LAMBR, Labeling, Medical reports, Transfer learning",
author = "Tsai, {Chen Han} and Nahum Kiryati and Eli Konen and Miri Sklair-Levy and Arnaldo Mayer",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; null ; Conference date: 04-10-2020 Through 08-10-2020",
year = "2020",
doi = "10.1007/978-3-030-61166-8_25",
language = "אנגלית",
isbn = "9783030611651",
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 = "233--241",
editor = "Jaime Cardoso and Wilson Silva and Ricardo Cruz and {Van Nguyen}, Hien and Badri Roysam and Nicholas Heller and {Henriques Abreu}, Pedro and {Pereira Amorim}, Jose and Ivana Isgum and Vishal Patel and Kevin Zhou and Steve Jiang and Ngan Le and Khoa Luu and Raphael Sznitman and Veronika Cheplygina and Samaneh Abbasi and Diana Mateus and Emanuele Trucco",
booktitle = "Interpretable and Annotation-Efficient Learning for Medical Image Computing - 3rd International Workshop, iMIMIC 2020, 2nd International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Proceedings",
address = "גרמניה",
}