Brain MRI Images Pre-processing of Heterogeneous Data-sets for Deep Learning Applications

S. Ostellino, A. Benso, G. Politano

2022

Abstract

Automatic segmentation of tissues and lesions is a very important step in any Artificial Intelligence pipeline designed to analyze medical images (especially MRI). This is particularly true for brain MRI images of patients affected by neurological pathologies like Multiple Sclerosis (MS). To perform well, cutting edge Artificial Intelligence approaches like Deep Learning need a huge amount of training data. Unfortunately, available data-sets of MRI medical images often lack annotations, standardized acquisition protocols, formats and dimensions. This heterogeneity in the data-sets makes it often very difficult to use and integrate different data-sets in the same pipeline. Available image pre-processing tools have specific requirements and might not be adequate for extensive usage with heterogeneous data-sets. This paper presents an on-going work on a comprehensive and consistent brain MRI images pre-processing pipeline for Deep Learning applications enabling the creation of a congruous data-set. The pipeline was tested with the public available ISBI2015 data-set.

Paper Citation

in Harvard Style

Ostellino S., Benso A. and Politano G. (2022). Brain MRI Images Pre-processing of Heterogeneous Data-sets for Deep Learning Applications. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-552-4, SciTePress, pages 115-120. DOI: 10.5220/0010828500003123

in Bibtex Style

@conference{bioinformatics22,
author={S. Ostellino and A. Benso and G. Politano},
title={Brain MRI Images Pre-processing of Heterogeneous Data-sets for Deep Learning Applications},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 3: BIOINFORMATICS},
year={2022},
pages={115-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010828500003123},
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 3: BIOINFORMATICS
TI - Brain MRI Images Pre-processing of Heterogeneous Data-sets for Deep Learning Applications
SN - 978-989-758-552-4
AU - Ostellino S.
AU - Benso A.
AU - Politano G.
PY - 2022
SP - 115
EP - 120
DO - 10.5220/0010828500003123
PB - SciTePress