Open AccessMachine Learning Models to Improve the Differentiation Between Benign and Malignant Breast Lesions on Ultrasound: A Multicenter External Validation Study
Author(s) -
Ling Huo,
Yao Tan,
Shu Wang,
Cuizhi Geng,
Yang Li,
Xuelei Ma,
Bin Wang,
Yingjian He,
Chen Yao,
Tao Ouyang
Publication year - 2021
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
ISSN - 1179-1322
DOI - 10.2147/cmar.s297794
Subject(s) - medicine , logistic regression , receiver operating characteristic , brier score , multilayer perceptron , gold standard (test) , breast cancer , artificial intelligence , radiology , machine learning , medical physics , computer science , cancer , artificial neural network
This study aimed to establish and evaluate the usefulness of a simple, practical, and easy-to-promote machine learning model based on ultrasound imaging features for diagnosing breast cancer (BC).