Breast Cancer Detection Using Convoluted Features and Ensemble Machine Learning Algorithm

SIMPLE SUMMARY: This paper presents a breast cancer detection approach where the convoluted features from a convolutional neural network are utilized to train a machine learning model. Results demonstrate that use of convoluted features yields better results than the original features to classify ma...

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Detalles Bibliográficos
Autores principales: Umer, Muhammad, Naveed, Mahum, Alrowais, Fadwa, Ishaq, Abid, Hejaili, Abdullah Al, Alsubai, Shtwai, Eshmawi, Ala’ Abdulmajid, Mohamed, Abdullah, Ashraf, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737339/
https://www.ncbi.nlm.nih.gov/pubmed/36497497
http://dx.doi.org/10.3390/cancers14236015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9737339/
https://www.ncbi.nlm.nih.gov/pubmed/36497497
http://dx.doi.org/10.3390/cancers14236015

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