BgNet: Classification of benign and malignant tumors with MRI multi-plane attention learning

OBJECTIVES: To propose a deep learning-based classification framework, which can carry out patient-level benign and malignant tumors classification according to the patient’s multi-plane images and clinical information. METHODS: A total of 430 cases of spinal tumor, including axial and sagittal plan...

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Detalles Bibliográficos
Autores principales: Liu, Hong, Jiao, Meng-Lei, Xing, Xiao-Ying, Ou-Yang, Han-Qiang, Yuan, Yuan, Liu, Jian-Fang, Li, Yuan, Wang, Chun-Jie, Lang, Ning, Qian, Yue-Liang, Jiang, Liang, Yuan, Hui-Shu, Wang, Xiang-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646829/
https://www.ncbi.nlm.nih.gov/pubmed/36387085
http://dx.doi.org/10.3389/fonc.2022.971871

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646829/
https://www.ncbi.nlm.nih.gov/pubmed/36387085
http://dx.doi.org/10.3389/fonc.2022.971871

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