BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network

The aim of this study was to investigate the potential of a machine learning algorithm to classify breast cancer solely by the presence of soft tissue opacities in mammograms, independent of other morphological features, using a deep convolutional neural network (dCNN). Soft tissue opacities were cl...

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Detalles Bibliográficos
Autores principales: Sabani, Albin, Landsmann, Anna, Hejduk, Patryk, Schmidt, Cynthia, Marcon, Magda, Borkowski, Karol, Rossi, Cristina, Ciritsis, Alexander, Boss, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318280/
https://www.ncbi.nlm.nih.gov/pubmed/35885470
http://dx.doi.org/10.3390/diagnostics12071564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318280/
https://www.ncbi.nlm.nih.gov/pubmed/35885470
http://dx.doi.org/10.3390/diagnostics12071564

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