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

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第一作者： Rahman,Shafique

第一单位： Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.

作者： Rahman,Shafique ^[1] ; Furqan,Rustam ^[2] ; Gyu Sang,Choi ^[1] ; Isabel de la Torre,Díez ^[3] ; Arif,Mahmood ^[4] ; Vivian,Lipari ^[5] ; Carmen Lili Rodríguez,Velasco ^[6] ; Imran,Ashraf ^[1]

作者单位： Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea. ^[1] School of Computer Science, University College Dublin, D04 V1W8 Dublin, Ireland. ^[2] Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Paseo de Belén 15, 47011 Valladolid, Spain. ^[3] Department of Computer Science & Information Technology, The Islamia University of Bahawalpur, Bahawalpur 63100, Punjab, Pakistan. ^[4] Research Group on Foods, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain.;Department of Project Management, Universidad Internacional Iberoamericana, Campeche 24560, Mexico.;Fundación Universitaria Internacional de Colombia Bogotá, Bogotá 11001, Colombia. ^[5] Research Group on Foods, Nutritional Biochemistry and Health, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain.;Department of Project Management, Universidad Internacional Iberoamericana Arecibo, Arecibo, PR 00613, USA.;Project Management, Universidade Internacional do Cuanza, Cuito EN250, Bié, Angola. ^[6]

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

DOI 10.3390/cancers15030681

PMID 36765642

发布时间 2023-02-13

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