White blood cell differential counts using convolutional neural networks for low resolution images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7895 LNAI, Issue PART 2, 2013, Pages 263-274

  Habibzadeh, Mehdi ^a   Krzyzak, Adam ^a   Fevens, Thomas ^a  

^a Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

Complete Blood Count; convolutional neural network; support vector machine; white blood cell classification

Indexed keywords

AUTOMATIC CLASSIFICATION; COMPLETE BLOOD COUNTS; CONVOLUTIONAL NEURAL NETWORK; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); LOW RESOLUTION IMAGES; MEDICAL DIAGNOSTICS; SVM-BASED CLASSIFIERS; WHITE BLOOD CELL CLASSIFICATION;

BLOOD; CELLS; FEATURE EXTRACTION; GRAPHIC METHODS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; SOFT COMPUTING;

SUPPORT VECTOR MACHINES;

EID: 84884375038     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38610-7_25     Document Type: Conference Paper

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