US-based radiomics analysis of different machine learning models for differentiating benign and malignant BI-RADS 4A breast lesions-Reference-Cited by-同舟云学术

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US-based radiomics analysis of different machine learning models for differentiating benign and malignant BI-RADS 4A breast lesions

Published:2024-08 Issue: Volume: Page:
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Ye Jieyi,Chen Yinting,Pan Jiawei,Qiu Yide,Luo Zhuoru,Xiong Yue,He Yanping,Chen Yingyu,Xie Fuqing,Huang Weijun^ORCID

Funder

Department of Science and Technology of Guangdong Province

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Reference36 articles.

1. Cancer statistics, 2024;Siegel;CA: Cancer J Clin,2024

2. Delays in breast cancer detection and treatment in developing countries;Rivera-Franco;Breast Cancer: Basic and Clinical Research,2018

3. Introduction of a new staging system of breast cancer for radiologists: an emphasis on the prognostic stage;Koh;Korean J Radiol,2019

4. Novel approaches to screening for breast cancer;Mann;Radiology,2020

5. Ultrasound imaging technologies for breast cancer detection and management: a review;Guo;Ultrasound Med Biol,2018

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