Downloads provided by UsageCounts
This archive contains the part 1 of Shift Benchmark on Multiple Sclerosis lesion segmentation data. This dataset is provided by the Shifts Project to enable assessment of the robustness of models to distributional shift and the quality of their uncertainty estimates. This part is the MSSEG data collected in the digital repository of the OFSEP Cohort provided in the context of the MICCAI 2016 and 2021 challenges. A full description of the benchmark is available in https://arxiv.org/pdf/2206.15407. Part 2 of the data is available here. To find out more about the Shifts Project, please visit https://shifts.ai .
{"references": ["Malinin, Andrey et al. (2022). \u00a0Shifts 2.0: Extending The Dataset of Real Distributional Shifts, arXiv:2206.15407"]}
This work is supported by the Hasler Foundation, Cambridge University Press and Cambridge Assessment and DeepSea.
MRI data, Uncertainty Estimation, Semantic Segmentation, Neuroimaging, Robustness, Distributional Shift
MRI data, Uncertainty Estimation, Semantic Segmentation, Neuroimaging, Robustness, Distributional Shift
| 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 |
| views | 1K | |
| downloads | 61 |

Views provided by UsageCounts
Downloads provided by UsageCounts