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Automatic classification of atypical lymphoid B cells using digital blood image processing

Author
Alferez, E.; Merino, A.; Mujica, L.E.; Ruiz, M.; Bigorra, L.; Rodellar, J.
Type of activity
Journal article
Journal
International journal of laboratory hematology
Date of publication
2014-08-01
Volume
36
Number
4
First page
472
Last page
480
DOI
https://doi.org/10.1111/ijlh.12175 Open in new window
Repository
http://hdl.handle.net/2117/22609 Open in new window
URL
http://onlinelibrary.wiley.com/doi/10.1111/ijlh.12175/abstract Open in new window
Abstract
Introduction: There are automated systems for digital peripheral blood (PB) cell analysis, but they operate most effectively in non-pathological blood samples. The objective of this work was to design a methodology to improve the automatic classification of abnormal lymphoid cells.; Methods: We analyzed 340 digital images of individual lymphoid cells from PB films obtained in the CellaVision DM96:150 chronic lymphocytic leukemia (CLL) cells, 100 hairy cell leukemia (HCL) cells, and 90 normal lym...
Citation
Alferez, E. [et al.]. Automatic classification of atypical lymphoid B cells using digital blood image processing. "International journal of laboratory hematology", Desembre 2013, p. 1-9.
Keywords
Atypical lymphoid cells, CELLAVISION DM96, DIAGNOSIS, RECOGNITION, automatic cell classification, digital image processing, hematological cytology, morphological analysis, peripheral blood
Group of research
CoDAlab - Control, Dynamics and Applications

Participants