medical

Acute Stroke Lesion Segmentation

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in acute-stroke-lesion-segmentation-1

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Actions

ATLAS v2.0

Libraries

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Use these libraries to find acute-stroke-lesion-segmentation-1 models and implementations

Datasets

ATLAS v2.0

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Most implemented papers

Acute and sub-acute stroke lesion segmentation from multimodal MRI

Albert Clérigues, S. Valverde, J. Bernal, J. Freixenet, A. Oliver, X. Lladó•Tue Oct 30 2018

Better segmentation results are obtained by leveraging the anatomy and pathophysiology of acute stroke lesions and using a combined approach to minimize the effects of class imbalance.

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BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision

Prantik Deb, Lalith Bharadwaj Baru, Kamalaker Dadi, Raju S. Bapi•Mon Oct 09 2023

This work considers the publicly available dataset ATLAS $v2.0$ to benchmark various end-to-end supervised U-Net style models and conducts the Wilcoxon test for 3D models to correlate the relationship between predicted and actual stroke volume.

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Paper Graph

Adding a benchmark result helps the community track progress.