Deep learning-based classification of primary bone tumors on radiographs: A preliminary study

BACKGROUND: To develop a deep learning model to classify primary bone tumors from preoperative radiographs and compare performance with radiologists. METHODS: A total of 1356 patients (2899 images) with histologically confirmed primary bone tumors and pre-operative radiographs were identified from f...

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Detalles Bibliográficos
Autores principales: He, Yu, Pan, Ian, Bao, Bingting, Halsey, Kasey, Chang, Marcello, Liu, Hui, Peng, Shuping, Sebro, Ronnie A., Guan, Jing, Yi, Thomas, Delworth, Andrew T., Eweje, Feyisope, States, Lisa J., Zhang, Paul J., Zhang, Zishu, Wu, Jing, Peng, Xianjing, Bai, Harrison X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689511/
https://www.ncbi.nlm.nih.gov/pubmed/33232868
http://dx.doi.org/10.1016/j.ebiom.2020.103121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689511/
https://www.ncbi.nlm.nih.gov/pubmed/33232868
http://dx.doi.org/10.1016/j.ebiom.2020.103121

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