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

Shafique, Rahman; Rustam, Furqan; Choi, Gyu Sang; Díez, Isabel de la Torre; Mahmood, Arif; Lipari, Vivian; Velasco, Carmen Lili Rodríguez; Ashraf, Imran.

Afiliação

Shafique R; Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Rustam F; School of Computer Science, University College Dublin, D04 V1W8 Dublin, Ireland.
Choi GS; Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Díez IT; Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Paseo de Belén 15, 47011 Valladolid, Spain.
Mahmood A; Department of Computer Science & Information Technology, The Islamia University of Bahawalpur, Bahawalpur 63100, Punjab, Pakistan.
Lipari V; Research Group on Foods, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain.
Velasco CLR; Department of Project Management, Universidad Internacional Iberoamericana, Campeche 24560, Mexico.
Ashraf I; Fundación Universitaria Internacional de Colombia Bogotá, Bogotá 11001, Colombia.

Cancers (Basel) ; 15(3)2023 Jan 22.

Article em En | MEDLINE | ID: mdl-36765642

Palavras-chave

breast cancer prediction; deep learning; feature selection; fine-needle aspiration features; principal component analysis; singular value decomposition

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article