Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification

Recent progress in deep learning (DL) has revived the interest on DL-based computer aided detection or diagnosis (CAD) systems for breast cancer screening. Patch-based approaches are one of the main state-of-the-art techniques for 2D mammogram image classification, but they are intrinsically limited...

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Detalles Bibliográficos
Autores principales: Quintana, Gonzalo Iñaki, Li, Zhijin, Vancamberg, Laurence, Mougeot, Mathilde, Desolneux, Agnès, Muller, Serge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215225/
https://www.ncbi.nlm.nih.gov/pubmed/37237603
http://dx.doi.org/10.3390/bioengineering10050534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10215225/
https://www.ncbi.nlm.nih.gov/pubmed/37237603
http://dx.doi.org/10.3390/bioengineering10050534

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