White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images.

Rustam, Furqan; Aslam, Naila; De La Torre Díez, Isabel; Khan, Yaser Daanial; Mazón, Juan Luis Vidal; Rodríguez, Carmen Lili; Ashraf, Imran

Rustam, Furqan; Aslam, Naila; De La Torre Díez, Isabel; Khan, Yaser Daanial; Mazón, Juan Luis Vidal; Rodríguez, Carmen Lili; Ashraf, Imran.

Affiliation

Rustam F; School of Computer Science, University College Dublin, D04 V1W8 Dublin, Ireland.
Aslam N; Department of Software Engineering, University of Management and Technology, Lahore 544700, Pakistan.
De La Torre Díez I; Department of Computer Science, School of Systems and Technology, University of Management and Technology, Lahore 54770, Pakistan.
Khan YD; Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Paseo de Belén 15, 47011 Valladolid, Spain.
Mazón JLV; Department of Computer Science, School of Systems and Technology, University of Management and Technology, Lahore 54770, Pakistan.
Rodríguez CL; Higher Polytechnic School, Universidad Europea del Atlántico, Isabel Torres 21, 39011 Santander, Spain.
Ashraf I; Department of Projects, Universidad Internacional Iberoamericana (UNIB), Arecibo, PR 00613, USA.

Healthcare (Basel) ; 10(11)2022 Nov 08.

Article de En | MEDLINE | ID: mdl-36360571

Mots clés

Chi-squared; SMOTE; leukemia; texture features; white blood cells classification

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Healthcare (Basel) Année: 2022 Type de document: Article Pays d'affiliation: Irlande

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