New breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images.
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ABSTRACT:
SUBMITTER: Chen JM
PROVIDER: S-EPMC4448264 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
Publications
New breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images.
Chen Jia-Mei JM Qu Ai-Ping AP Wang Lin-Wei LW Yuan Jing-Ping JP Yang Fang F Xiang Qing-Ming QM Maskey Ninu N Yang Gui-Fang GF Liu Juan J Li Yan Y
Scientific reports 20150529
Computer-aided image analysis (CAI) can help objectively quantify morphologic features of hematoxylin-eosin (HE) histopathology images and provide potentially useful prognostic information on breast cancer. We performed a CAI workflow on 1,150 HE images from 230 patients with invasive ductal carcinoma (IDC) of the breast. We used a pixel-wise support vector machine classifier for tumor nests (TNs)-stroma segmentation, and a marker-controlled watershed algorithm for nuclei segmentation. 730 morph ...[more]
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