Automatic Labeling of Atherosclerotic Tissues in Histology Images
Contact Person(s): Andrei Chekkoury, Dr. Amin KatouzianAdvisor: Prof. Nassir Navab
Supervision by: Dr. Amin Katouzian
Abstract
| In this project, the goal is to automatically label atherosclerotic tissues in histology images that are often used to study and understand progression of atherosclerosis deploying different intravascular imaging modalities such IVUS, OCT, etc. The results can then be used to manual labeling of tissue for feature extraction and construction of reliable training dataset. It can further be used for systematic quantification of atherosclerotic tissue characterization algorithms. |
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Literature
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A. Chekkoury, Parmeshwar Khurd, Jie Ni, Claus Bahlmann, A. Khamene, Amar Patel, L. Grady, Maneesh Singh, M. Groher, N. Navab, Jeffrey Johnson, Anna Graham, Ronald Weinstein
Automated Malignancy Detection in Breast Histopathological Images SPIE Medical Imaging, 04-09 February 2012, San Diego, California, USA (bib) |
Katouzian, A. and Baseri, B. and Konofagou, E.E. and Laine
Texture-driven coronary artery plaque characterization using wavelet packet signatures IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008 |