Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41619
Title: Automatic breast cancer grading of histopathological images
Authors: Dalle, J.-R. 
Leow, W.K. 
Racoceanu, D.
Tutac, A.E.
Putti, T.C.
Issue Date: 2008
Source: Dalle, J.-R.,Leow, W.K.,Racoceanu, D.,Tutac, A.E.,Putti, T.C. (2008). Automatic breast cancer grading of histopathological images. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology" : 3052-3055. ScholarBank@NUS Repository.
Abstract: Breast cancer grading of histopathological images is the standard clinical practice for the diagnosis and prognosis of breast cancer development. 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. This paper proposes a method for automatic computer grading to assist pathologists by providing second opinions and reducing their workload. It combines the three criteria in the Nottingham scoring system using a multi-resolution approach. To our best knowledge, there is no existing work that provide complete grading according to the Nottingham criteria. © 2008 IEEE.
Source Title: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
URI: http://scholarbank.nus.edu.sg/handle/10635/41619
ISBN: 9781424418152
Appears in Collections:Staff Publications

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