Breast Cancer Prediction Using Fine Needle Aspiration Features and Upsampling with Supervised Machine Learning

SIMPLE SUMMARY: Breast cancer is prevalent in women and the second leading cause of death. Conventional breast cancer detection methods require several laboratory tests and medical experts. Automated breast cancer detection is thus very important for timely treatment. This study explores the influen...

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Detalles Bibliográficos
Autores principales: Shafique, Rahman, Rustam, Furqan, Choi, Gyu Sang, Díez, Isabel de la Torre, Mahmood, Arif, Lipari, Vivian, Velasco, Carmen Lili Rodríguez, Ashraf, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913345/
https://www.ncbi.nlm.nih.gov/pubmed/36765642
http://dx.doi.org/10.3390/cancers15030681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913345/
https://www.ncbi.nlm.nih.gov/pubmed/36765642
http://dx.doi.org/10.3390/cancers15030681

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