Proc. of the NATO Advanced Study Institute on Pattern recognition theory and applications
Incorporating contextual information in white blood cell identification
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Image-guided decision support system for pathology
Machine Vision and Applications
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
Induction of selective Bayesian classifiers
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Leukocyte segmentation and SVM classification in blood smear images
Machine Graphics & Vision International Journal
Leukocyte Recognition Using EM-Algorithm
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Effective segmentation and classification for HCC biopsy images
Pattern Recognition
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Segmentation of moving cells in bright field and epi-fluorescent microscopic image sequences
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Identification of erythrocyte types in greyscale MGG images for computer-assisted diagnosis
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Evaluation of a Content-Based Retrieval System for Blood Cell Images with Automated Methods
Journal of Medical Systems
Leukocyte detection using nucleus contour propagation
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
Automatic recognition of five types of white blood cells in peripheral blood
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
A computer assisted method for leukocyte nucleus segmentation and recognition in blood smear images
Journal of Systems and Software
Texture and moments-based classification of the acrosome integrity of boar spermatozoa images
Computer Methods and Programs in Biomedicine
An Expert Support System for Breast Cancer Diagnosis using Color Wavelet Features
Journal of Medical Systems
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Millions of white blood cells are manually classified in laboratories using microscopes, a painstaking and subjective task. A trained medical technician takes about 15min to evaluate and count 100 cells for each blood slide, a time consuming and susceptible to error procedure. Leukocyte shape is usually insufficient to differentiate even among normal types since it varies widely. The current paper addresses the pattern recognition problem of blood image analysis and how textural information can improve differentiation among leukocytes. Cooccurrence probabilities can be used as a measure of gray scale image texture, a statistical method for characterizing the spatial organization of the gray-tones. We calculate five textural attributes based on gray level cooccurrence matrices (GLCM) as energy, entropy, inertia and local homogeneity, testing these features in leukocyte recognition. Several parameters must be estimated for obtaining GLCM, therefore we implement datamining algorithms for estimating suitable scales. Feature selection methods are also applied to define the most discriminative attributes for describing the cellular patterns. Experimental results show that texture parameters are essential to differentiate among the five types of normal leukocytes and chronic lymphocytic leukemia, evidencing the importance of biological aspects regarded by hematologists as nuclear chromatin and cytoplasmical granularity.