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The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification

arXiv · AI, language, vision and robotics · article · Aug 29, 2026 · UTC

Late gadolinium enhancement (LGE) cardiac magnetic resonance (MR) imaging is the modality of choice to assess myocardial infarction (MI) lesions. Nowadays MI volume quantification is not performed routinely in clinical practice. Numerous deep learning (DL) methods have been developed to automate the segmentation of the myocardium and infarct regions. However, most studies rely on relatively small datasets which typically undergo pre-processing steps to standardize images and focus on a specific phase of myocardial infarction following reperfusion therapy. These limitations have impeded the dev

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Evidence & attribution

First collected: 2026-09-21T07:51:58.603Z. This is not the publication date.