| P50 | author | Bert van der Vegt | Q50889999 |
| P2093 | author name string | Geertruida H de Bock | |
| | Harry Hollema | |
| | Henk J Buikema | |
| | Timco Koopman | |
| P2860 | cites work | Cell cycle analysis of a cell proliferation-associated human nuclear antigen defined by the monoclonal antibody Ki-67 | Q72743242 |
| | How reliable is Ki-67 immunohistochemistry in grade 2 breast carcinomas? A QA study of the Swiss Working Group of Breast- and Gynecopathologists | Q28729183 |
| | Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013 | Q30543788 |
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| | Comparison of the effect of different techniques for measurement of Ki67 proliferation on reproducibility and prognosis prediction accuracy in breast cancer | Q40061893 |
| | The region-of-interest size impacts on Ki67 quantification by computer-assisted image analysis in breast cancer. | Q40299367 |
| | Bimodality of intratumor Ki67 expression is an independent prognostic factor of overall survival in patients with invasive breast carcinoma | Q40348126 |
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| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | image analysis | Q860755 |
| P304 | page(s) | 33-42 | |
| P577 | publication date | 2018-01-18 | |
| P1433 | published in | Breast Cancer Research and Treatment | Q326085 |
| P1476 | title | Digital image analysis of Ki67 proliferation index in breast cancer using virtual dual staining on whole tissue sections: clinical validation and inter-platform agreement | |
| P478 | volume | 169 | |