Consistency evaluation of an automatic segmentation for quantification of intracerebral hemorrhage using convolution neural network

Consistency evaluation of an automatic segmentation for quantification of intracerebral hemorrhage using convolution neural network

Objective To establish an automatic segmentation algorithm using convolution neural network, and to validate the consistency between the algorithm and manual segmentation. Methods One hundred andforty⁃six CT scans of intracerebral hemorrhage (ICH) were included from Chinese Intracranial Hemorrhage I...

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Bibliographic Details
Main Authors: Jian-bo CHANG, Shen-zhong JIANG, Xian-jin CHEN, Ka-hei LOK, Yuk-lam LEE, Qing-hua ZHANG, Jun-ji WEI, Lin SHI, Ming FENG, Ren-zhi WANG
Format: Article
Language:English
Published: Tianjin Huanhu Hospital 2020-07-01
Series:Chinese Journal of Contemporary Neurology and Neurosurgery
Subjects:
cerebral hemorrhage
artificial intelligence
neural networks (computer)
tomography, x⁃ray computed
Online Access:http://www.cjcnn.org/index.php/cjcnn/article/view/2167

Internet

http://www.cjcnn.org/index.php/cjcnn/article/view/2167

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