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Shifts Multiple Sclerosis Lesion Segmentation Dataset Part 2

Authors: Malinin, Andrey; Athanasopoulos, Andreas; Barakovic, Muhamed; Bach Cuadra, Meritxell; Gales, Mark; Granziera, Cristina; Graziani, Mara; +11 Authors

Shifts Multiple Sclerosis Lesion Segmentation Dataset Part 2

Abstract

This archive contains part 2 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 contains data collected from several different sources and distributed under a CC BY NC SA 4.0 license. Part 1 of the data is available here. A full description of the benchmark is available in https://arxiv.org/pdf/2206.15407. 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

Keywords

MRI data, Uncertainty Estimation, Semantic Segmentation, Neuroimaging, Robustness, Distributional Shift

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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