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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dalle, Jean-Romain Leow, Wee Kheng Racoceanu, Daniel Tutac, Adina Eunice Putti, Thomas C. |
| Copyright Year | 2008 |
| Description | Author affiliation: IPAL-UMI, CNRS 2955, 21 Heng Mui Keng Terrace, Singapore 119613 (Racoceanu, Daniel) || Dept. of Computer Science, National University of Singapore, Computing 1, Singapore 117590 (Dalle, Jean-Romain; Leow, Wee Kheng) || Dept. of Pathology, National University Hospital, 5 Lower Kent Ridge Road, Singapore 119074 (Putti, Thomas C.) || Engineering Dept., Politehnica University of Timisoara, Bd.V.Parvan Nr.2, Romania (Tutac, Adina Eunice) |
| 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. |
| Starting Page | 3052 |
| Ending Page | 3055 |
| File Size | 757068 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424418145 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2008.4649847 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-08-20 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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