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Atypical lymphoid cells detection and classification using mathematical morphology and fuzzy clustering on digital blood image analysis

Author
Alferez, E.; Merino, A.; Ruiz, M.; Mujica, L.E.; Rodellar, J.
Type of activity
Journal article
Journal
International journal of laboratory hematology
Date of publication
2012-06
Volume
34
Number
Supplement S1
First page
75
Last page
75
URL
http://onlinelibrary.wiley.com/doi/10.1111/j.1751-553X.2012.01437.x/pdf Open in new window
Abstract
The robust segmentation methodology described allows to extract information and measurements about diferent regions of the lymphoid cells, reaching a high precision in the classification of HCL cells. The addition of descriptors and the use of new artificial intelligence techniques will improve the method in order to extend their application to the morphological feature classification of other PB lymphoid cells in the different lymphoid neoplasias.
Keywords
Poster Abstracts: Morphology 75
Group of research
CoDAlab - Control, Dynamics and Applications

Participants