Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2021.3090082
Abstract: The emergence of deep learning has considerably advanced the state-of-the-art in cardiac magnetic resonance (CMR) segmentation. Many techniques have been proposed over the last few years, bringing the accuracy of automated segmentation close to human… read more here.
Keywords: multi centre; cardiac segmentation; multi vendor; centre multi ... See more keywords
Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2021.3090432
Abstract: Performance degradation due to domain shift remains a major challenge in medical image analysis. Unsupervised domain adaptation that transfers knowledge learned from the source domain with ground truth labels to the target domain without any… read more here.
Keywords: domain adaptation; cardiac segmentation; unsupervised domain; segmentation ... See more keywords
An Adaptive Generative Adversarial Network for Cardiac Segmentation from X-ray Chest Radiographs
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DOI: 10.3390/app10155032
Abstract: Medical image segmentation is a classic challenging problem. The segmentation of parts of interest in cardiac medical images is a basic task for cardiac image diagnosis and guided surgery. The effectiveness of cardiac segmentation directly… read more here.
Keywords: generative adversarial; network; adversarial network; adaptive generative ... See more keywords