Contextual Features and Information Bottleneck-Based Multi-Input Network for Breast Cancer Classification from Contrast-Enhanced Spectral Mammography

In computer-aided diagnosis methods for breast cancer, deep learning has been shown to be an effective method to distinguish whether lesions are present in tissues. However, traditional methods only classify masses as benign or malignant, according to their presence or absence, without considering t...

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Detalles Bibliográficos
Autores principales: Li, Xinmeng, Cui, Jia, Song, Jingqi, Jia, Mingyu, Zou, Zhenxing, Ding, Guocheng, Zheng, Yuanjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777091/
https://www.ncbi.nlm.nih.gov/pubmed/36553140
http://dx.doi.org/10.3390/diagnostics12123133

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777091/
https://www.ncbi.nlm.nih.gov/pubmed/36553140
http://dx.doi.org/10.3390/diagnostics12123133

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