Application of deep learning in the detection of breast lesions with four different breast densities

OBJECTIVE: This retrospective study evaluated the model from populations with different breast densities and showed the model's performance on malignancy prediction. METHODS: A total of 608 mammograms were collected from Northern Jiangsu People's Hospital in Yangzhou City. The data from th...

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Detalles Bibliográficos
Autores principales: Li, Hongmei, Ye, Jing, Liu, Hao, Wang, Yichuan, Shi, Binbin, Chen, Juan, Kong, Aiping, Xu, Qing, Cai, Junhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290249/
https://www.ncbi.nlm.nih.gov/pubmed/34132495
http://dx.doi.org/10.1002/cam4.4042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290249/
https://www.ncbi.nlm.nih.gov/pubmed/34132495
http://dx.doi.org/10.1002/cam4.4042

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