An Advanced Image Analysis Tool for the Quantification and Characterization of Breast Cancer in Microscopy Images
An Advanced Image Analysis Tool for the Quantification and Characterization of Breast Cancer in Microscopy Images
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DOI：
10.1007/s10916-015-0225-3
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发表时间：
2015-03-01
影响因子：
5.3
通讯作者：
Maglogiannis, Ilias
中科院分区：
文献类型：
--
作者：
Goudas, Theodosios;Maglogiannis, Ilias
本文介绍了一种先进的图像分析工具，用于在显微镜图像中准确、快速地表征和定量癌细胞和凋亡细胞。提出的工具利用自适应阈值和支持向量机分类器。通过多数投票和分水岭技术增强了分割结果，同时开发了一种目标标记算法，用于快速准确地验证识别细胞。病理学专家对该工具进行了评估，报告的结果令人满意且可重复。
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.