Accurate Machine-Learning-Based classification of Leukemia from Blood Smear Images.

Dese, Kokeb; Raj, Hakkins; Ayana, Gelan; Yemane, Tilahun; Adissu, Wondimagegn; Krishnamoorthy, Janarthanan; Kwa, Timothy

Dese, Kokeb; Raj, Hakkins; Ayana, Gelan; Yemane, Tilahun; Adissu, Wondimagegn; Krishnamoorthy, Janarthanan; Kwa, Timothy.

Affiliation

Dese K; School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia-378.
Raj H; School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia-378.
Ayana G; Department of Medical IT Convergence Engineering, Kumoh Institute of Technology, Gumi, Republic of Korea.
Yemane T; Hematology and immunohematology course team, School of Medical Laboratory Sciences, Jimma University, Jimma, Ethiopia.
Adissu W; Hematology and immunohematology course team, School of Medical Laboratory Sciences, Jimma University, Jimma, Ethiopia.
Krishnamoorthy J; School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia-378. Electronic address: jana.jk2006@gmail.com.
Kwa T; School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia-378. Electronic address: tkwa@ucdavis.edu.

Clin Lymphoma Myeloma Leuk ; 21(11): e903-e914, 2021 11.

Article de En | MEDLINE | ID: mdl-34493478

Sujet(s)
Mots clés

Blood Smear; Computer aided leukemia detection; Leukemia; Leukemia diagnosis; MCSVM; Segmentation

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Leucémies / Apprentissage machine Type d'étude: Guideline / Prognostic_studies Limites: Adult / Female / Humans / Male / Middle aged Langue: En Journal: Clin Lymphoma Myeloma Leuk Sujet du journal: NEOPLASIAS Année: 2021 Type de document: Article Pays de publication: États-Unis d'Amérique

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