A symmetric prior knowledge based deep learning model for intracerebral hemorrhage lesion segmentation

Background: Accurate localization and classification of intracerebral hemorrhage (ICH) lesions are of great significance for the treatment and prognosis of patients with ICH. The purpose of this study is to develop a symmetric prior knowledge based deep learning model to segment ICH lesions in compu...

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Detalles Bibliográficos
Autores principales: Nijiati, Mayidili, Tuersun, Abudouresuli, Zhang, Yue, Yuan, Qing, Gong, Ping, Abulizi, Abudoukeyoumujiang, Tuoheti, Awanisa, Abulaiti, Adili, Zou, Xiaoguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727183/
https://www.ncbi.nlm.nih.gov/pubmed/36505076
http://dx.doi.org/10.3389/fphys.2022.977427

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727183/
https://www.ncbi.nlm.nih.gov/pubmed/36505076
http://dx.doi.org/10.3389/fphys.2022.977427

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