CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images

CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images

Abstract Background Accurate segmentation of stroke lesions on MRI images is very important for neurologists in the planning of post-stroke care. Segmentation helps clinicians to better diagnose and evaluation of any treatment risks. However, manual segmentation of brain lesions relies on the experi...

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Bibliographic Details
Main Authors: Yousef Gheibi, Kimia Shirini, Seyed Naser Razavi, Mehdi Farhoudi, Taha Samad-Soltani
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Ischemic stroke
Convolutional network
Lesion segmentation
MRI
Informatics
Deep learning
Online Access:https://doi.org/10.1186/s12911-023-02289-y

Internet

https://doi.org/10.1186/s12911-023-02289-y

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