Brain Ventricle Detection Using Hausdorff Distance

Sim, K. S.; Nia, M. E.; Tso, C.P.; Kho, T.K.

doi:10.1016/b978-0-12-804203-8.00034-1

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Hausdorff Distance H(a B) Is the Maximum Of H(a B) And H(b A)1

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2019

2024

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Cited by 4 publications

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“…Hence, it is able to measure the degree of mismatch between two sets from the distance of the point of A that is farthest from any point of B, and vice versa [17].…”

Section: Hausdorff Distance H(a B) Is the Maximum Of H(a B) And H(b A)mentioning

confidence: 99%

TwoPath U-Net for Automatic Brain Tumor Segmentation from Multimodal MRI Data

Kaewrak

Soraghan

Caterina

et al. 2021

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

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A novel encoder-decoder deep learning network called TwoPath U-Net for multi-class automatic brain tumor segmentation task is presented. The network uses cascaded local and global feature extraction paths in the down-sampling path of the network which allows the network to learn different aspects of both the low-level feature and high-level features. The proposed network architecture using a full image and patches input technique was used on the BraTS2020 training dataset. We tested the network performance using the BraTS2019 validation dataset and obtained the mean dice score of 0.76, 0.64, and 0.58 and the Hausdorff distance 95% of 25.05, 32.83, and 37.57 for the whole tumor, tumor core and enhancing tumor regions.

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“…Hence, it is able to measure the degree of mismatch between two sets from the distance of the point of A that is farthest from any point of B, and vice versa [17].…”

Section: Hausdorff Distance H(a B) Is the Maximum Of H(a B) And H(b A)mentioning

confidence: 99%