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

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 tumors. These...

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Detalles Bibliográficos
Autores principales: Yu, Teng-Fei, He, Wen, Gan, Cong-Gui, Zhao, Ming-Chang, Zhu, Qiang, Zhang, Wei, Wang, Hui, Luo, Yu-Kun, Nie, Fang, Yuan, Li-Jun, Wang, Yong, Guo, Yan-Li, Yuan, Jian-Jun, Ruan, Li-Tao, Wang, Yi-Cheng, Zhang, Rui-Fang, Zhang, Hong-Xia, Ning, Bin, Song, Hai-Man, Zheng, Shuai, Li, Yi, Guang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909320/
https://www.ncbi.nlm.nih.gov/pubmed/33617184
http://dx.doi.org/10.1097/CM9.0000000000001329

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7909320/
https://www.ncbi.nlm.nih.gov/pubmed/33617184
http://dx.doi.org/10.1097/CM9.0000000000001329

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