Weakly Supervised Deep Learning-based Intracranial Hemorrhage Localization

Jakub Nemcek, Tomas Vicar, Roman Jakubicek

2022

Abstract

Intracranial hemorrhage is a life-threatening disease, which requires fast medical intervention. Owing to the duration of data annotation, head CT images are usually available only with slice-level labeling. However, information about the exact position could be beneficial for a radiologist. This paper presents a fully automated weakly supervised method of precise hemorrhage localization in axial CT slices using only position-free labels. An algorithm based on multiple instance learning is introduced that generates hemorrhage likelihood maps for a given CT slice and even finds the coordinates of bleeding. Two different publicly available datasets are used to train and test the proposed method. The Dice coefficient, sensitivity and positive predictive value of 58.08 %, 54.72 % and 61.88 %, respectively, are achieved on data from the test dataset.

Paper Citation

in Harvard Style

Nemcek J., Vicar T. and Jakubicek R. (2022). Weakly Supervised Deep Learning-based Intracranial Hemorrhage Localization. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 2: BIOIMAGING; ISBN 978-989-758-552-4, SciTePress, pages 111-116. DOI: 10.5220/0010825000003123

in Bibtex Style

@conference{bioimaging22,
author={Jakub Nemcek and Tomas Vicar and Roman Jakubicek},
title={Weakly Supervised Deep Learning-based Intracranial Hemorrhage Localization},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 2: BIOIMAGING},
year={2022},
pages={111-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010825000003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 2: BIOIMAGING
TI - Weakly Supervised Deep Learning-based Intracranial Hemorrhage Localization
SN - 978-989-758-552-4
AU - Nemcek J.
AU - Vicar T.
AU - Jakubicek R.
PY - 2022
SP - 111
EP - 116
DO - 10.5220/0010825000003123
PB - SciTePress