
I am currently involved in
Center for Computational Biology and my main interest includes
segmentation of medical images and shape analysis. Segmentation is one of the
most significant tasks in computer vision and medical imaging, however it is
often considered as a very difficult problem since there is no universal
descriptor for regions to be segmented and the boundries of segmentation often
appear subtle. Shape plays an important role in image understanding and object
interpretation. This high level visual information is clearly beneficial to
segmentation and it is of great interest to develop a segmentation algorithm
incorporating shape information. During my Ph.D. I mainly focused on Digital
Mammogram which aimed to develop a Computer-Aided Diagnosis system in the
diagnosis of breast cancer which is one of major causes of death among women in
many counties. My Ph.D. work includes segmentation of regions of interest
(ROI's) in mammograms and registration of temporal or bilateral mammograms.
During my master I worked on face recognition using informative fragments which
were applied for classifying asian faces versis western faces. [picture::
composition_viii of Kandinsky. I put this picture even though it is not related
to my research. I just like it :-)]
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