Classification of leukemia blood samples using neural networks

Annals of Biomedical Engineering

Volumn 38, Issue 4, 2010, Pages 1473-1482

  Adjouadi, Malek ^a   Ayala, Melvin ^a   Cabrerizo, Mercedes ^a   Zong, Nuannuan ^a   Lizarraga, Gabriel ^a   Rossman, Mark ^a  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

Author keywords

Acute lymphocytic leukemia; Acute myeloid leukemia; Artificial neural networks; Blood cell classification; Leukemia diagnosis

Indexed keywords

ACUTE MYELOID LEUKEMIA; ARTIFICIAL NEURAL NETWORK; BLOOD CELL CLASSIFICATION; BLOOD CELL CLASSIFICATIONS; LYMPHOCYTIC LEUKEMIA;

BLOOD; CELLS; DIAGNOSIS; NEURAL NETWORKS; PATTERN RECOGNITION; PROGRAM DIAGNOSTICS;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BLOOD; BLOOD CELL COUNT; COMPUTER ASSISTED DIAGNOSIS; FLOW CYTOMETRY; HUMAN; LEUKEMIA; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BLOOD CELL COUNT; DIAGNOSIS, COMPUTER-ASSISTED; FLOW CYTOMETRY; HUMANS; LEUKEMIA; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77952008679     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-009-9866-z     Document Type: Article

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