Automatic Breast Cancer Grading of Histopathological Images

被引：58
|
作者：
Dalle, Jean-Romain [1 ]
Leow, Wee Kheng [1 ]
Racoceanu, Daniel [2 ]
Tutac, Adina Eunice [3 ]
Putti, Thomas C. [4 ]
机构：
[1] Natl Univ Singapore, Dept Comp Sci, Comp 1, Singapore 117590, Singapore
[2] IPAL, CNRS, UMI 2955, Singapore 119613, Singapore
[3] Univ Politecn Timisoara, Dept Engn, Timisoara, Romania
[4] Natl Univ Singapore Hosp, Dept Pathol, Singapore 119074, Singapore
来源：
2008 30TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-8 | 2008年
关键词：
D O I：
10.1109/IEMBS.2008.4649847
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页码：3052 / +
页数：3
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