期刊
TUMOR BIOLOGY
卷 39, 期 3, 页码 -出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/1010428317694550
关键词
Breast cancer; image analysis; hematoxylin and eosin histopathology image; computer-aided prognosis
类别
资金
- Key Project of the National Natural Science Foundation of China [81230031/H18]
- Fundamental Research Funds for the Central Universities [2015303020201]
- National Natural Science Foundation's Program for New Century Excellent Talents in Universities of China [61272274]
- Program for New Century Excellent Talents in Universities [NCET-10-0644]
- National Natural Science Foundation of China [61273259]
- Six Major Talents Summit of Jiangsu Province [2013-XXRJ-019]
- Natural Science Foundation of Jiangsu Province of China [BK20141482]
- Jiangsu Innovation & Entrepreneurship Group Talents Plan [JS201526]
With the advance of digital pathology, image analysis has begun to show its advantages in information analysis of hematoxylin and eosin histopathology images. Generally, histological features in hematoxylin and eosin images are measured to evaluate tumor grade and prognosis for breast cancer. This review summarized recent works in image analysis of hematoxylin and eosin histopathology images for breast cancer prognosis. First, prognostic factors for breast cancer based on hematoxylin and eosin histopathology images were summarized. Then, usual procedures of image analysis for breast cancer prognosis were systematically reviewed, including image acquisition, image preprocessing, image detection and segmentation, and feature extraction. Finally, the prognostic value of image features and image feature-based prognostic models was evaluated. Moreover, we discussed the issues of current analysis, and some directions for future research.
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