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Segmentation of large brain lesions
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由 SA Hojjatoleslami 著作2001被引用 76 次 — This paper describes a region-growing algorithm for the segmentation of large lesions in T1-weighted magnetic resonance (MR) images of the head.
有關 Segmentation of Large Brain Lesions. 的學術文章 | |
Segmentation of large brain lesions - Hojjatoleslami - 76 個引述 … connected CRF for accurate brain lesion segmentation - Kamnitsas - 3813 個引述 … extension to automatic brain tissue segmentation on … - De Boer - 366 個引述 | |
Segmentation of large brain lesions - Medical Imaging, ...
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由 SA Hojjatoleslami 著作2001 — Abstract—This paper describes a region-growing algorithm for the seg- mentation of large lesions in. -weighted magnetic resonance (MR) images of the head.
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(PDF) Segmentation of large brain lesions | Ali Hojjat
Academia.edu
https://www.academia.edu › Segmentat...
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This paper describes a region-growing algorithm for the segmentation of large lesions in -weighted magnetic resonance (MR) images of the head.
Segmentation of Large Brain Lesions
Kent Academic Repository
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Kent Academic Repository
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由 A Hojjatoleslami 著作2001被引用 76 次 — Hojjatoleslami, Ali, Kruggel, F. (2001) Segmentation of Large Brain Lesions. IEEE Transactions on Medical Imaging, 20 (7). pp. 666-669.
Consensus of algorithms for lesion segmentation in brain ...
Nature
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由 AP De Rosa 著作2024被引用 1 次 — SAMSEG: this algorithm is used for the simultaneous segmentation of white matter lesions and normal-appearing neuroanatomical structures from ...
A Foundation Model for Brain Lesion Segmentation with ...
arXiv
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由 X Zhang 著作2024被引用 2 次 — We propose a universal foundation model for 3D brain lesion segmentation, which can automatically segment different types of brain lesions for input data of ...
Segmentation of Focal Brain Lesions
Springer
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由 F Kruggel 著作2004被引用 5 次 — The segmentation task consists of finding the lesion borders. This problem is non-trivial because the lesion may be connected to other intracranial compartments ...
CarveMix: A simple data augmentation method for brain ...
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由 X Zhang 著作2023被引用 46 次 — In this work, we propose a simple yet effective data augmentation approach, dubbed as CarveMix, for CNN-based brain lesion segmentation.
Brain and lesion segmentation in multiple sclerosis using ...
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由 RE Gabr 著作2020被引用 88 次 — Conclusion: The results from this large-scale study suggest that deep FCNN can automatically segment MS brain tissues, including lesions, with high accuracy.
Deep Learning-Based Segmentation of Various Brain ...
MDPI
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MDPI
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由 S Wu 著作2021被引用 11 次 — This study implemented deep learning methods to the task of segmentation of various brain lesions, facilitating the treatment planning process of neurosurgery ...
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