Brain tumor segmentation is highly contributive in diagnosing and treatment planning. The manual brain tumor delineation is a time-consuming and tedious task and varies depending on the radiologists skill. Automated brain tumor segmentation is of high importance, and does not depend on either inter or intra-observation. The objective of this study is to automate the delineation of brain tumors from the FLAIR, T1 weighted, T2 weighted, and T1 weighted contrast-enhanced MR sequences through a deep learning approach, with a focus on determining which MR sequence alone or which combination thereof would lead to the highest accuracy therein.
@article{arxiv.2203.03338,
title = {Joint brain tumor segmentation from multi MR sequences through a deep convolutional neural network},
author = {Farzaneh Dehghani and Alireza Karimian and Hossein Arabi},
journal= {arXiv preprint arXiv:2203.03338},
year = {2022}
}