Detecting Asymmetric Patterns and Localizing Cancers on Mammograms

One in eight women develops invasive breast cancer in her lifetime. The frontline protection against this disease is mammography. While computer-assisted diagnosis algorithms have made great progress in generating reliable global predictions, few focus on simultaneously producing regions of interest...

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Detalles Bibliográficos
Autores principales: Guan, Yuanfang, Wang, Xueqing, Li, Hongyang, Zhang, Zhenning, Chen, Xianghao, Siddiqui, Omer, Nehring, Sara, Huang, Xiuzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566852/
https://www.ncbi.nlm.nih.gov/pubmed/33073255
http://dx.doi.org/10.1016/j.patter.2020.100106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566852/
https://www.ncbi.nlm.nih.gov/pubmed/33073255
http://dx.doi.org/10.1016/j.patter.2020.100106

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