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

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 Method...

Full description

Bibliographic Details
Main Authors: Derun Pan, Renyi Liu, Bowen Zheng, Jianxiang Yuan, Hui Zeng, Zilong He, Zhendong Luo, Genggeng Qin, Weiguo Chen
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2021/8811056

Internet

http://dx.doi.org/10.1155/2021/8811056

Similar Items