@inproceedings{cb8cc8aabc5846068b2e3de85f63f80a,
title = "A Two-Phase Optimal Mass Transportation Technique for 3D Brain Tumor Detection and Segmentation",
abstract = "The goal of optimal mass transportation (OMT) is to transform any irregular 3D object (i.e., a brain image) into a cube without creating significant distortion, which is utilized to preprocess irregular brain samples to facilitate the tensor form of the input format of the U-net algorithm. The BraTS 2021 database newly provides a challenging platform for the detection and segmentation of brain tumors, namely, the whole tumor (WT), the tumor core (TC) and the enhanced tumor (ET), by AI techniques. We propose a two-phase OMT algorithm with density estimates for 3D brain tumor segmentation. In the first phase, we construct a volume-mass-preserving OMT via the density determined by the FLAIR grayscale of the scanned modality for the U-net and predict the possible tumor regions. Then, in the second phase, we increase the density on the region of interest and construct a new OMT to enlarge the target region of tumors for the U-net so that the U-net has a better chance to learn how to mark the correct segmentation labels. The application of this preprocessing OMT technique is a new and trending method for CNN training and validation.",
keywords = "Irregular 3D image, Optimal mass transportation, Two-phase OMT, Volume-measure-preserving map",
author = "Lin, {Wen Wei} and Tiexiang Li and Huang, {Tsung Ming} and Lin, {Jia Wei} and Yueh, {Mei Heng} and Yau, {Shing Tung}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 7th International Brain Lesion Workshop, BrainLes 2021, held in conjunction with the Medical Image Computing and Computer Assisted Intervention, MICCAI 2021 ; Conference date: 27-09-2021 Through 27-09-2021",
year = "2022",
doi = "10.1007/978-3-031-08999-2_34",
language = "English",
isbn = "9783031089985",
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 = "400--409",
editor = "Alessandro Crimi and Spyridon Bakas",
booktitle = "Brainlesion",
address = "德國",
}