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Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review
| Content Provider | SAGE Publishing |
|---|---|
| Author | Chen, Jia-Mei Li, Yan Xu, Jun Gong, Lei Wang, Lin-Wei Liu, Wen-Lou Liu, Juan |
| Copyright Year | 2017 |
| Abstract | 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. |
| Related Links | https://journals.sagepub.com/doi/pdf/10.1177/1010428317694550?download=true |
| ISSN | 10104283 |
| Issue Number | 3 |
| Volume Number | 39 |
| Journal | Tumor Biology (TUB) |
| e-ISSN | 14230380 |
| DOI | 10.1177/1010428317694550 |
| Language | English |
| Publisher | Sage Publications UK |
| Publisher Date | 2017-03-28 |
| Publisher Place | London |
| Access Restriction | Open |
| Rights Holder | © The Author(s) 2017 |
| Subject Keyword | Breast cancer image analysis hematoxylin and eosin histopathology image computer-aided prognosis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine Cancer Research |
