Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study

Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study

Abstract. Background. The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tum...

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Bibliographic Details
Main Authors: Teng-Fei Yu, Wen He, Cong-Gui Gan, Ming-Chang Zhao, Qiang Zhu, Wei Zhang, Hui Wang, Yu-Kun Luo, Fang Nie, Li-Jun Yuan, Yong Wang, Yan-Li Guo, Jian-Jun Yuan, Li-Tao Ruan, Yi-Cheng Wang, Rui-Fang Zhang, Hong-Xia Zhang, Bin Ning, Hai-Man Song, Shuai Zheng, Yi Li, Yang Guang, Ning-Ning Wang
Format: Article
Language:English
Published: Wolters Kluwer 2021-02-01
Series:Chinese Medical Journal
Online Access:http://journals.lww.com/10.1097/CM9.0000000000001329

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