Deep learning-based computed tomography image segmentation and volume measurement of intracerebral hemorrhage

Deep learning-based computed tomography image segmentation and volume measurement of intracerebral hemorrhage

The study aims to enhance the accuracy and practicability of CT image segmentation and volume measurement of ICH by using deep learning technology. A dataset including the brain CT images and clinical data of 1,027 patients with spontaneous ICHs treated from January 2010 to December 2020 were retros...

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Bibliographic Details
Main Authors: Qi Peng, Xingcai Chen, Chao Zhang, Wenyan Li, Jingjing Liu, Tingxin Shi, Yi Wu, Hua Feng, Yongjian Nian, Rong Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Neuroscience
Subjects:
deep learning
intracerebral hemorrhage
computed tomography
segmentation
volume measurement
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.965680/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.965680/full

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