Development and Validation of a Deep Learning Model for Brain Tumor Diagnosis and Classification Using Magnetic Resonance Imaging

IMPORTANCE: Deep learning may be able to use patient magnetic resonance imaging (MRI) data to aid in brain tumor classification and diagnosis. OBJECTIVE: To develop and clinically validate a deep learning system for automated identification and classification of 18 types of brain tumors from patient...

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Detalles Bibliográficos
Autores principales: Gao, Peiyi, Shan, Wei, Guo, Yue, Wang, Yinyan, Sun, Rujing, Cai, Jinxiu, Li, Hao, Chan, Wei Sheng, Liu, Pan, Yi, Lei, Zhang, Shaosen, Li, Weihua, Jiang, Tao, He, Kunlun, Wu, Zhenzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361083/
https://www.ncbi.nlm.nih.gov/pubmed/35939301
http://dx.doi.org/10.1001/jamanetworkopen.2022.25608

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361083/
https://www.ncbi.nlm.nih.gov/pubmed/35939301
http://dx.doi.org/10.1001/jamanetworkopen.2022.25608

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