@inproceedings{63a3749ed273453a9b41e0dee54df935,
title = "An UNet-Based Brain Tumor Segmentation Framework via Optimal Mass Transportation Pre-processing",
abstract = "This article aims to build a framework for MRI images of brain tumor segmentation using the deep learning method. For this purpose, we develop a novel 2-Phase UNet-based OMT framework to increase the ratio of brain tumors using optimal mass transportation (OMT). Moreover, due to the scarcity of training data, we change the density function by different parameters to increase the data diversity. For the post-processing, we propose an adaptive ensemble procedure by solving the eigenvectors of the Dice similarity matrix and choosing the result with the highest aggregation probability as the predicted label. The Dice scores of the whole tumor (WT), tumor core (TC), and enhanced tumor (ET) regions for online validation computed by SegResUNet were 0.9214, 0.8823, and 0.8411, respectively. Compared with random crop pre-processing, OMT is far superior.",
keywords = "2-Phase OMT framework, Brain Tumor Segmentation, Density function, Optimal Mass Transportation, UNet",
author = "Liao, {Jia Wei} and Huang, {Tsung Ming} and Tiexiang Li and Lin, {Wen Wei} and Han Wang and Yau, {Shing Tung}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Proceedings of the 8th International MICCAI Brainlesion Workshop, BrainLes 2022 ; Conference date: 18-09-2022 Through 22-09-2022",
year = "2023",
doi = "10.1007/978-3-031-33842-7_19",
language = "English",
isbn = "9783031338410",
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 = "216--228",
editor = "Spyridon Bakas and Ujjwal Baid and Bhakti Baheti and Alessandro Crimi and Sylwia Malec and Monika Pytlarz and Maximilian Zenk and Reuben Dorent",
booktitle = "Brainlesion",
address = "德國",
}