Multimedia Medical Conceptual Web for Intelligent Information Access
 
Breast Cancer Grading
Breast cancer grading of histopathological images is the standard clinical practice for the diagnosis and prognosis of breast cancer development. Pathologists perform grading manually under a microscope. Their experience directly influence the accuracy of grading. Variability among pathologists have been observed in clinical practice. In a large hospital, a pathologist typically handles 100 grading cases per day, each consisting of about 2000 image frames. It is, therefore, a very tedious and time-consuming task. A computer system that performs automatic grading can assist the pathologists by providing second opinions, reducing their
workload, and alerting them to cases that require closer attention, allowing them to focus on diagnosis and prognosis.

A multi-resolution approach is adopted to detect and quantify features relevant to breast cancer grading.

Sample Results
Low-resolution image of biopsy sample
Segmented neoplasm
(Green) Detected cells
Detected cells of different types are marked with different colors.
 
Publications
>>> J.-R. Dalle, C.-H. Huang, W. K. Leow, D. Racoceanu, T. C. Putti. Nuclear Pleomorphism Scoring by Selective Cell Nuclei Detection. In Proc. IEEE Workshop on Applications of Compuer Vision, 7-8 Dec 2009.
>>> A. E. Tutaca, D. Racoceanu, W. K. Leow, H. Müller, T. Puttib, V. Cretud. Toward Translational Incremental Similarity-Based Reasoning in Breast Cancer Grading. In Proc. SPIE, 2009.
>>> A. E. Tutac, D. Racoceanu, W. K. Leow, J.-R. Dalle, T. Putti, W. Xiong, V. Cretu. Translational Approach for Semi-Automatic Breast Cancer Grading Using a Knowledge-Guided Semantic Indexing of Histopathology Images In Proc. Int. Conf. on Medical Image Computing and Computer Assisted Intervention Workshop, 6-10 Sep 2008.
>>> J.-R. Dalle, W. K. Leow, D. Racoceanu, A. E. Tutac, T. C. Putti. Automatic Breast Cancer Grading of Histopathological Images. In Proc. Int. Conf. of IEEE Engineering in Medicine and Biology Society, 20-24 Aug 2008.
>>> A. E. Tutac, D. Racoceanu, T. Putti, W. Xiong, W. K. Leow, and V. Cretu. Knowledge-Guided Semantic Indexing of Breast Cancer Histopathology Images. In Proc. Int. Conf. on Biomedical Engineering and Informatics (BMEI), 27-30 May 2008.

Last update: 30 Sep 2009