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

页码：3052 / +

页数：3

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