TY - JOUR
T1 - An automatic image methodology to classify megakaryocytes in chronic myeloproliferative disorders
AU - Tegolo, Domenico
AU - Franco, Vito
AU - Florena, Ada Maria
AU - Tripodo, Claudio
PY - 2008
Y1 - 2008
N2 - This work describes an automatic method for discrimination in microphotographs between normal and
pathological human megakaryocytes and between two kinds of disorders of these cells. A segmentation
procedure has been developed, mainly based on mathematical morphology and wavelet transform, to
isolate the cells. The features of each megakaryocyte (e.g. area, perimeter and tortuosity of the cell and
its nucleus, and shape complexity via elliptic Fourier transform) are used by a regression tree procedure
applied twice: the first time to find the set of normal megakaryocytes and the second to distinguish
between the pathologies. The output of our classifier has been compared to the interpretation provided
by the pathologists and the results show that 98.4% and 97.1% of normal and pathological cells, respectively,
have testified an excellent classification. This study proposes a useful aid in supporting the specialist
in the classification of megakaryocyte disorders.
AB - This work describes an automatic method for discrimination in microphotographs between normal and
pathological human megakaryocytes and between two kinds of disorders of these cells. A segmentation
procedure has been developed, mainly based on mathematical morphology and wavelet transform, to
isolate the cells. The features of each megakaryocyte (e.g. area, perimeter and tortuosity of the cell and
its nucleus, and shape complexity via elliptic Fourier transform) are used by a regression tree procedure
applied twice: the first time to find the set of normal megakaryocytes and the second to distinguish
between the pathologies. The output of our classifier has been compared to the interpretation provided
by the pathologists and the results show that 98.4% and 97.1% of normal and pathological cells, respectively,
have testified an excellent classification. This study proposes a useful aid in supporting the specialist
in the classification of megakaryocyte disorders.
UR - http://hdl.handle.net/10447/40153
M3 - Article
VL - 12
SP - 703
EP - 712
JO - MEDICAL IMAGE ANALYSIS
JF - MEDICAL IMAGE ANALYSIS
ER -