AtheroscleroticHistologyLabeling

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Automatic Labeling of Atherosclerotic Tissues in Histology Images

Contact Person(s): Andrei Chekkoury, Dr. Amin Katouzian
Advisor: 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. histology.jpg

Literature

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


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