MICAT: Medical Image Analysis for Cancer Treatment Monitoring and Tumor ATlas Formation (MICAT)
Dr. Gozde Unal (PI),
Andaç Hamamcı (PhD Student),
Ali Demir (MSc Student),
Suheyla Çetin (PhD Student)
Rıza Alp Güler (MSc Student)
Dr. Kutlay Karaman, Radiology Dept, Anadolu Medical Center
Dr. Kayıhan Engin, Radio-oncology Dept, Anadolu Medical Center
Nadir Küçük, Medical Physics, Radio-oncology Dept, Anadolu Medical Center
Dr. Kader K. Oğuz, Radiology Dept, Hacettepe University Hospital
EU FP7 Marie-Curie Reintegration Program
Extracting useful and meaningful information related to anatomical structures and indicators fordiseases from medical images in an efficient, repeatable, and accurate way continues to be an important and challenging problem. The objective of this research program is to develop robust and efficient computing techniques for medical image data analysis, modeling, and visualization with a felicitous application to cancer treatment monitoring. Cancer is one of the leading causes of death in humans in the developed nations such as European Union. During monitoring of cancer patients undergoing therapy, quantitative analysis of the change in tumor is a substantial task for an accurate assessment of the disease.
GUI of the project tool is available upon request from Prof. Gozde Unal.
In the framework of the "Medical Image Analysis for Cancer Treatment Monitoring and Tumor ATlas Formation (MICAT)" project, the following papers and theses are published: