Leukemia identification from bone marrow cells images using a machine vision and data mining strategy

Intelligent Data Analysis

Volumn 15, Issue 3, 2011, Pages 443-462

  Gonzalez, Jesus A ^a,b   Olmos, Ivan ^c   Altamirano, Leopoldo ^b   Morales, Blanca A ^b   Reta, Carolina ^b   Galindo, Martha C ^b   Alonso, Jose E ^d   Lobato, Ruben ^d  

^a National Institute of Astrophysics Optics and Electronics ^*  (Mexico)

^b INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

^c BENEMÉRITA UNIVERSIDAD AUTÓNOMA DE PUEBLA   (Mexico)

^d INSTITUTO MEXICANO DEL SEGURO SOCIAL   (Mexico)

Author keywords

Acute leukemia classification; cells images; data mining; feature extraction; machine vision

Indexed keywords

ACUTE LEUKEMIA; BONE MARROW; BONE MARROW CELLS; CLASSIFICATION ACCURACY; EIGENVALUES; LEUKEMIA CELLS; LYMPHOBLASTIC LEUKEMIA; MACHINE LEARNING ALGORITHMS; MACHINE VISION; MEDICAL DIAGNOSIS; MEDICAL IMAGES; MORPHOLOGICAL ANALYSIS; RESEARCH AREAS; SEGMENTATION METHODS;

BONE; CELLS; COMPUTER VISION; DATA MINING; DIAGNOSIS; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; LEARNING ALGORITHMS; MEDICAL COMPUTING; MEDICAL IMAGING; MORPHOLOGY; PATIENT TREATMENT;

DISEASES;

EID: 79957841773     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/IDA-2010-0476     Document Type: Article

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