Open AccessApplication of machine learning with multiparametric dual-energy computed tomography of the breast to differentiate between benign and malignant lesions
Author(s) -
Xiaosong Lan,
Xiaoxia Wang,
Jun Qi,
Huifang Chen,
Xiangfei Zeng,
Jinfang Shi,
Daihong Liu,
Hesong Shen,
Jiuquan Zhang
Publication year - 2021
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4306
pISSN - 2223-4292
DOI - 10.21037/qims-21-39
Subject(s) - adaboost , receiver operating characteristic , support vector machine , artificial intelligence , hounsfield scale , univariate , linear discriminant analysis , boosting (machine learning) , medicine , machine learning , univariate analysis , logistic regression , radiology , random forest , decision tree , computer science , gradient boosting , computed tomography , multivariate analysis , multivariate statistics
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