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H&E slides used in the training dataset described in "Multi-omic machine learning predictor of breast cancer therapy response" published in Nature: https://www.nature.com/articles/s41586-021-04278-5 Metadata associated with these images also included in file Slide metadata.xlsx
{"references": ["Sammut, SJ. et al. Multi-omic machine learning predictor of breast cancer therapy response. Nature 601, 623\u2013629 (2022)."]}
digital pathology
digital pathology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 656 |

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