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

Autor
Alferez, E.; Merino, A.; Ruiz, M.; Mujica, L.E.; Rodellar, J.
Tipus d'activitat
Article en revista
Revista
International journal of laboratory hematology
Data de publicació
2012-06
Volum
34
Número
Supplement S1
Pàgina inicial
75
Pàgina final
75
URL
http://onlinelibrary.wiley.com/doi/10.1111/j.1751-553X.2012.01437.x/pdf Obrir en finestra nova
Resum
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.
Paraules clau
Poster Abstracts: Morphology 75
Grup de recerca
CoDAlab - Control, Modelització, Identificació i Aplicacions

Participants