Using Machine Learning to Unravel the Value of Radiographic Features for the Classification of Bone Tumors

OBJECTIVES: To build and validate random forest (RF) models for the classification of bone tumors based on the conventional radiographic features of the lesion and patients' clinical characteristics, and identify the most essential features for the classification of bone tumors. MATERIALS AND M...

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Detalles Bibliográficos
Autores principales: Pan, Derun, Liu, Renyi, Zheng, Bowen, Yuan, Jianxiang, Zeng, Hui, He, Zilong, Luo, Zhendong, Qin, Genggeng, Chen, Weiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984886/
https://www.ncbi.nlm.nih.gov/pubmed/33791381
http://dx.doi.org/10.1155/2021/8811056

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984886/
https://www.ncbi.nlm.nih.gov/pubmed/33791381
http://dx.doi.org/10.1155/2021/8811056

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