Mitosis Detection in Breast Cancer Histological Images with Mathematical Morphology

被引：0

作者：

Aptoula, Erchan ^{[1
]}

Courty, Nicolas ^{[2
]}

Lefevre, Sebastien ^{[2
]}

机构：

[1] Okan Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey

[2] South Britanny Univ, Bilgisayar Muhendisligi Bolumu, Vannes, France

来源：

2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2013年

关键词：

Mathematical morphology; watershed transform; texture description; circular covariance histogram;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

One of the most important outcome predictors of malignant tumors is the mitotic count, i.e. the division speed of cells. This value is computed from the patient's tissue samples by medical experts, that count each mitosis case one by one under a microscope, and as such it is a time consuming process. In order to accelerate it, we present in this paper a system capable of mitosis detection from histological breast cancer images. To this end we have developed a fully automatic solution based on mathematical morphology. The proposed approach has achieved the 10th best performance among 14 teams at the international mitosis detection contest organized by ICPR' 12.

引用

页数：4

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