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

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

Breast cancer is one of the most common invasive cancers in women and it continues to be a worldwide medical problem since the number of cases has significantly increased over the past decade. Breast cancer is the second leading cause of death from cancer in women. The early detection of breast canc...

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Bibliographic Details
Main Authors: Rahman Shafique, Furqan Rustam, Gyu Sang Choi, Isabel de la Torre Díez, Arif Mahmood, Vivian Lipari, Carmen Lili Rodríguez Velasco, Imran Ashraf
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Cancers
Subjects:
breast cancer prediction
feature selection
fine-needle aspiration features
principal component analysis
singular value decomposition
deep learning
Online Access:https://www.mdpi.com/2072-6694/15/3/681

Internet

https://www.mdpi.com/2072-6694/15/3/681

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