An Advanced Image Analysis Tool for the Quantification and Characterization of Breast Cancer in Microscopy Images

被引：9
|
作者：
Goudas, Theodosios [1 ]
Maglogiannis, Ilias [1 ]
机构：
[1] Univ Piraeus, Dept Digital Syst, Piraeus 18532, Greece
来源：
JOURNAL OF MEDICAL SYSTEMS | 2015年 / 39卷 / 03期
关键词：
Breast cancer; Pathology quantification; Microscopy; Image mining; Classification; CELL NUCLEI; CLASSIFICATION; SEGMENTATION; ANALOG;
D O I：
10.1007/s10916-015-0225-3
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
The paper presents an advanced image analysis tool for the accurate and fast characterization and quantification of cancer and apoptotic cells in microscopy images. The proposed tool utilizes adaptive thresholding and a Support Vector Machines classifier. The segmentation results are enhanced through a Majority Voting and a Watershed technique, while an object labeling algorithm has been developed for the fast and accurate validation of the recognized cells. Expert pathologists evaluated the tool and the reported results are satisfying and reproducible.
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页数：13
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