Tag: 3D medical imaging
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Optimizing CLIP for Abdominal CT Image-Text Alignment
Explore how batch composition and data scaling impact CLIP's zero-shot learning in abdominal CT image-text alignment for improved medical AI models.
Optimizing Medical Image Segmentation with Uncertainty Decisions
Explore how transforming uncertainty estimates into actionable decisions improves medical image segmentation accuracy and safety across datasets.
Robust Multi-Modal Prostate MRI Segmentation with MIGF
Enhance prostate MRI segmentation accuracy using Modality-Isolated Gated Fusion for robust multi-modal input handling and artifact resilience.
Ultra-Fast Cardiovascular Imaging with Generalist AI Model
Discover ultra-fast cardiovascular imaging using a generalist AI model and multimodal database for consistent, high-quality scans across clinical settings.
Improving Echo Segmentation by Fixing Ground Truth Errors
Enhance deep learning echocardiography segmentation by detecting and refurbishing ground truth errors using Variance of Gradients and pseudo-labelling.