Agreement evaluation of an automatic segmentation algorithm for quantifying subdural/epidural hemorrhage volume using convolution neural network

Agreement evaluation of an automatic segmentation algorithm for quantifying subdural/epidural hemorrhage volume using convolution neural network

Objective To validate the agreement among the convolution neural network segmentation algorithm, Tada formula and manual segmentation for subdural/epidural hemorrhage volume. Methods A total of 129 cases with 352 subdural/epidural hemorrhage CT scans were extracted from Chinese Intracranial Hemorrha...

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Bibliographic Details
Main Authors: TIAN Feng⁃xuan, CHANG Jian⁃bo, CHEN Yi⁃hao, WEI Jun⁃ji, FENG Ming, WANG Ren⁃zhi, HE Xi⁃wu
Format: Article
Language:English
Published: Tianjin Huanhu Hospital 2021-03-01
Series:Chinese Journal of Contemporary Neurology and Neurosurgery
Subjects:
hematoma
subdural
epidural
cranial
artificial intelligence
neural networks (computer)
tomography
x⁃ray computed
Online Access:http://www.cjcnn.org/index.php/cjcnn/article/view/2295

Internet

http://www.cjcnn.org/index.php/cjcnn/article/view/2295

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