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Machine Learning in Stroke Lesion Segmentation and Recovery Forecasting: A Review

2025-08-11

Abstract excerpt

<h4>Introduction: </h4> Stroke is a leading cause of disability worldwide, and precise identification of stroke lesions is essential for prognosis and rehabilitation planning. Machine learning has emerged as a powerful tool for automating stroke lesion segmentation and predicting post-stroke recovery, though challenges in standardization and generalizability remain. <h4>Methods:</h4> This narrative review synthesi...

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Literature Corpus work
0e7ad771-87bb-58ac-b753-002a775e019a
DOI
10.20944/preprints202508.0643.v1
Open publication

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Machine Learning in Stroke Lesion Segmentation and Recovery Forecasting: A ReviewDOI 10.20944/preprints202508.0643.v1
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