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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Detalhes bibliográficos
Publicado no:Biomed Res Int
Main Authors: Pan, Derun, Liu, Renyi, Zheng, Bowen, Yuan, Jianxiang, Zeng, Hui, He, Zilong, Luo, Zhendong, Qin, Genggeng, Chen, Weiguo
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi 2021
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7984886/
https://ncbi.nlm.nih.gov/pubmed/33791381
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/8811056
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