Ischemic Stroke Lesion Segmentation
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Ischemic Stroke Lesion Segmentation
Most implemented papers
Boundary loss for highly unbalanced segmentation
We propose a boundary loss, which takes the form of a distance metric on the space of contours, not regions.
Acute and sub-acute stroke lesion segmentation from multimodal MRI
NIC-VICOROB/SUNet-architecture
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Acute stroke lesion segmentation tasks are of great clinical interest as they can help doctors make better informed treatment decisions.
Predicting Clinical Outcome of Stroke Patients with Tractographic Feature
However, the presence of stroke lesion may cause neural disruptions to other brain regions, and these potentially damaged regions may affect the clinical outcome of stroke patients.
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
The test dataset will be used for model validation only and will not be released to the public.
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation
biomedical-data-analysis-laboratory/adnet-for-ais-segmentation
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Precise ischemic lesion segmentation plays an essential role in improving diagnosis and treatment planning for ischemic stroke, one of the prevalent diseases with the highest mortality rate.
