Automated morphometric classification of acute lymphoblastic leukaemia in blood microscopic images using an ensemble of classifiers
Authors:
- Subrajeet MohapatraSMSubrajeet Mohapatra
- Dipti PatraDPDipti Patra
- Sanghamitra SatpathySSSanghamitra Satpathy
- Rabindra Kumar JenaRJRabindra Kumar Jena
- Sudha SethySSSudha Sethy
- 18 March 2014
- journal article
- Published by Taylor & Francis in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
- Vol. 4 (1) , 3-16
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Classifying subtypes of acute lymphoblastic leukemia using silhouette statistics and genetic algorithmsGene, 2013
- Acute leukemia classification by ensemble particle swarm model selectionArtificial Intelligence in Medicine, 2012
- Non-invasive automated 3D thyroid lesion classification in ultrasound: A class of ThyroScan™ systemsUltrasonics, 2012
- Automatic white blood cell segmentation using stepwise merging rules and gradient vector flow snakeMicron, 2011
- Classification of Leukemia Blood Samples Using Neural NetworksAnnals of Biomedical Engineering, 2009
- Performance Evaluation of the CellaVision DM96 SystemAmerican Journal of Clinical Pathology, 2005
- Classification of pediatric acute lymphoblastic leukemia by gene expression profilingBlood, 2003
- Adaptive Mixtures of Local ExpertsNeural Computation, 1991
- Neural network ensemblesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1990
- A morphometric classification of acute lymphoblastic leukemia in childrenMedical and Pediatric Oncology, 1985