Application of computer-aided diagnosis to predict malignancy in BI-RADS 3 breast lesions-Reference-Cited by-同舟云学术

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Application of computer-aided diagnosis to predict malignancy in BI-RADS 3 breast lesions

Published:2024-01 Issue:2 Volume:10 Page:e24560
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

He Ping,Chen Wen,Bai Ming-Yu,Li Jun,Wang Qing-Qing,Fan Li-Hong,Zheng Jian,Liu Chun-Tao,Zhang Xiao-Rong,Yuan Xi-Rong,Song Peng-Jie,Cui Li-Gang^ORCID

Publisher

Elsevier BV

Reference26 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA Cancer J Clin,2021

2. Effectiveness of clinical breast examination as a 'stand-alone' screening modality: an overview of systematic reviews;Ngan;BMC Cancer,2020

3. Early detection and treatment strategies for breast cancer in low-income and upper middle-income countries: a modelling study;Birnbaum;Lancet Global Health,2018

4. Intensity-invariant texture analysis for classification of BI-rads category 3 breast masses;Lo;Ultrasound Med. Biol.,2015

5. Digital mammography screening: how many breast cancers are additionally detected by bilateral ultrasound examination during assessment?;Weigel;Eur. Radiol.,2013

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