A Dataset for Breast Cancer Histopathological Image Classification
Fábio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte
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- A Dataset for Breast Cancer Histopathological Image Classification→Random ForestsLegacy edge — source detail unavailable
- A Dataset for Breast Cancer Histopathological Image Classification→Scikit-learn: Machine Learning in PythonLegacy edge — source detail unavailable
- A Dataset for Breast Cancer Histopathological Image Classification→Support-vector networksLegacy edge — source detail unavailable
- A Dataset for Breast Cancer Histopathological Image Classification→An introduction to ROC analysisLegacy edge — source detail unavailable
- A Dataset for Breast Cancer Histopathological Image Classification→On combining classifiersLegacy edge — source detail unavailable
- A Dataset for Breast Cancer Histopathological Image Classification→Histopathological Image Analysis: A ReviewLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Random Forests | 2001 | 131,109 |
| Scikit-learn: Machine Learning in Python | 2012 | 64,025 |
| Support-vector networks | 1995 | 41,028 |
| An introduction to ROC analysis | 2005 | 21,837 |
| On combining classifiers | 1998 | 5,302 |
| Histopathological Image Analysis: A Review | 2009 | 2,066 |
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Topics
| AI in cancer detection | Computer Science |
| Digital Imaging for Blood Diseases | Computer Science |
| Image Retrieval and Classification Techniques | Computer Science |
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