Development and validation of a transformer-based CAD model for improving the consistency of BI-RADS category 3–5 nodule classification among radiologists: a multiple center study-Reference-Cited by-同舟云学术

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Development and validation of a transformer-based CAD model for improving the consistency of BI-RADS category 3–5 nodule classification among radiologists: a multiple center study

Published:2023-06 Issue:6 Volume:13 Page:3671-3687
ISSN:2223-4292
Container-title:Quantitative Imaging in Medicine and Surgery
language:
Short-container-title:Quant Imaging Med Surg

Author:

Ji Hongtao,Zhu Qiang,Ma Teng,Cheng Yun,Zhou Shuai,Ren Wei,Huang Huilian,He Wen,Ran Haitao,Ruan Litao,Guo Yanli,Tian Jiawei,Chen Wu,Chen Luzeng,Wang Zhiyuan,Zhou Qi,Niu Lijuan,Zhang Wei,Yang Ruimin,Chen Qin,Zhang Ruifang,Wang Hui,Li Li,Liu Minghui,Nie Fang,Zhou Aiyun

Publisher

AME Publishing Company

Subject

Radiology, Nuclear Medicine and imaging

Link

https://qims.amegroups.com/article/download/113226/pdf

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients;Journal of Ultrasound in Medicine;2024-07-25

2. Ultrasound Image Analysis with Vision Transformers—Review;Diagnostics;2024-03-04

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