Metin Gurcan, PhD, an Assistant Professor of Department of Biomedical Informatics, has been awarded a patent, US# 7,486,812 by the United States Patent and Trademark Office. The patent, entitled, “Shape estimates and temporal registration of lesions and nodules,” covers methods for the automated segmentation and registration of lung nodules from computed tomography images of lung. This is the second patent awarded to Dr. Gurcan, whose first patent (US # 7,236,620) covers methods in detecting early signs of colon cancer from virtual colonoscopy studies.
Dr. Gurcan's research interests include image analysis and understanding, computer vision with applications to medicine. Over the last decade, his research contributions have concentrated on computer-aided detection and diagnosis (CAD) of cancer. He has developed CAD systems for different organs such as breast, lung and colon and for different modalities such as mammography and CT. CAD development requires interdisciplinary research. Therefore, Dr. Gurcan's research experience covers a wide variety of interrelated fields such as multi-resolution image decomposition, adaptive filtering, statistical pattern recognition, neural networks, image and volume registration, morphological image processing, multi-dimensional optimization, image segmentation, and statistical signal processing.
Dr. Gurcan is the recipient of the British Foreign and Commonwealth Organization Award, Children’s Neuroblastoma Cancer Foundation Young Investigator Award and National Cancer Institute’s caBIG Embodying the Vision Award. Further information on Dr. Gurcan’s research can be found on the Clinical Image Analysis Lab web page (http://www.bmi.osu.edu/~cialab).
Dr. Gurcan's research interests include image analysis and understanding, computer vision with applications to medicine. Over the last decade, his research contributions have concentrated on computer-aided detection and diagnosis (CAD) of cancer. He has developed CAD systems for different organs such as breast, lung and colon and for different modalities such as mammography and CT. CAD development requires interdisciplinary research. Therefore, Dr. Gurcan's research experience covers a wide variety of interrelated fields such as multi-resolution image decomposition, adaptive filtering, statistical pattern recognition, neural networks, image and volume registration, morphological image processing, multi-dimensional optimization, image segmentation, and statistical signal processing.
Dr. Gurcan is the recipient of the British Foreign and Commonwealth Organization Award, Children’s Neuroblastoma Cancer Foundation Young Investigator Award and National Cancer Institute’s caBIG Embodying the Vision Award. Further information on Dr. Gurcan’s research can be found on the Clinical Image Analysis Lab web page (http://www.bmi.osu.edu/~cialab).
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