Please use this identifier to cite or link to this item: https://doi.org/10.1109/IEMBS.2009.5334739
Title: A cognitive virtual microscopic framework for knowlege-based exploration of large microscopic images in breast cancer histopathology
Authors: Roux, L.
Tutac, A.
Loménie, N.
Balensi, D.
Racoceanu, D.
Veillard, A.
Leow, W.-K. 
Klossa, J.
Putti, T.C.
Issue Date: 2009
Source: Roux, L., Tutac, A., Loménie, N., Balensi, D., Racoceanu, D., Veillard, A., Leow, W.-K., Klossa, J., Putti, T.C. (2009). A cognitive virtual microscopic framework for knowlege-based exploration of large microscopic images in breast cancer histopathology. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 : 3697-3702. ScholarBank@NUS Repository. https://doi.org/10.1109/IEMBS.2009.5334739
Abstract: Histopathological examination is a powerful method for prognosis of major diseases such as breast cancer. Analysis of medical images largely remains the work of human experts. Current virtual microscope systems are mainly an emulation of real microscopes with annotation and some image analysis capabilities. However, the lack of effective knowledge management prevents such systems from being computer-aided prognosis platforms. The cognitive virtual microscopic framework, through an extended modeling and use of medical knowledge, has the capacity to analyse histopathological images and to perform grading of breast cancer, providing pathologists with a robust and traceable second opinion. ©2009 IEEE.
Source Title: Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/40899
ISBN: 9781424432967
DOI: 10.1109/IEMBS.2009.5334739
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