Optimizing the classification of acute lymphoblastic leukemia and acute myeloid leukemia samples using artificial neural networks

Biomedical Sciences Instrumentation

Volumn 42, Issue , 2006, Pages 261-266

  Zong, Nuannuan ^a   Adjouadi, Malek ^a   Ayala, Melvin ^a  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

Author keywords

Acute Lymphoblastic Leukemia; Acute Myeloid Leukemia; Artificial Neural Networks; White Blood Cell classification

Indexed keywords

ALGORITHMS; BIOMECHANICS; CLASSIFICATION (OF INFORMATION); DIAGNOSIS; DISEASE CONTROL; MATHEMATICAL MODELS; TOOLS; BACKPROPAGATION; BLOOD; CELLS; DISEASES; FLOW CYTOMETRY; INSTRUMENTS; LANDFORMS; NEURAL NETWORKS; PROGRAM DIAGNOSTICS;

ACUTE LYMPHOBLASTIC LEUKEMIA (ALL); ACUTE MYELOID LEUKEMIA (AML); CLASSIFICATION TOOLS; WHITE BLOOD CELL CLASSIFICATION;

NEURAL NETWORKS; BLOOD VESSEL PROSTHESES;

ACCURACY; ACUTE GRANULOCYTIC LEUKEMIA; ACUTE LYMPHOBLASTIC LEUKEMIA; ARTIFICIAL NEURAL NETWORK; BLOOD CELL; BLOOD SAMPLING; CONFERENCE PAPER; CONTROLLED STUDY; DISEASE CLASSIFICATION; FLOW CYTOMETRY; HUMAN; HUMAN CELL; MAJOR CLINICAL STUDY;

BLOOD CELL COUNT; BLOOD CELLS; CLUSTER ANALYSIS; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; LEUKEMIA, LYMPHOCYTIC, ACUTE; LEUKEMIA, MYELOCYTIC, ACUTE; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; QUALITY CONTROL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

ACUTE LYMPHOBLASTIC LEUKEMIA; ACUTE MYELOGENOUS LEUKEMIA; ACUTE MYELOID LEUKEMIA; ANN ALGORITHM; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK APPROACH; ARTIFICIAL NEURAL NETWORKS; BLOOD CELLS; BLOOD SAMPLES; CLASSIFICATION ACCURACY; CLASSIFICATION TOOL; DISEASE STATE; HUMAN BLOOD CELLS; MEDICAL DOCTORS; PROGRAMMING TOOLS; TRAINING AND TESTING; WHITE BLOOD CELL CLASSIFICATION;

EID: 70449093399     PISSN: 00678856     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (7)

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