Automated Classification of Malignant and Benign Breast Cancer Lesions Using Neural Networks on Digitized Mammograms

We propose a novel neural network approach for the classification of abnormal mammographic images into benign or malignant based on their texture representations. The proposed framework has the capability of mapping high dimensional feature space into a lower-dimension, in a supervised way. The main...

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Detalles Bibliográficos
Autores principales: Abdelsamea, Mohammed M, Mohamed, Marghny H, Bamatraf, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580711/
https://www.ncbi.nlm.nih.gov/pubmed/31244522
http://dx.doi.org/10.1177/1176935119857570

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6580711/
https://www.ncbi.nlm.nih.gov/pubmed/31244522
http://dx.doi.org/10.1177/1176935119857570

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