Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/41619
DC FieldValue
dc.titleAutomatic breast cancer grading of histopathological images
dc.contributor.authorDalle, J.-R.
dc.contributor.authorLeow, W.K.
dc.contributor.authorRacoceanu, D.
dc.contributor.authorTutac, A.E.
dc.contributor.authorPutti, T.C.
dc.date.accessioned2013-07-04T08:31:45Z
dc.date.available2013-07-04T08:31:45Z
dc.date.issued2008
dc.identifier.citationDalle, 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.
dc.identifier.isbn9781424418152
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41619
dc.description.abstractBreast 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.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
dc.description.page3052-3055
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Page view(s)

104
checked on May 22, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.