Tag: 3D medical imaging
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TumorXAI: Explainable Self-Supervised Brain MRI Tumor AI
TumorXAI uses self-supervised learning and explainable AI to improve brain MRI tumor classification without large labeled datasets.
Unsupervised Denoising of Low-Dose Liver CT with Attention
Improve low-dose liver CT images with unsupervised denoising using perceptual attention networks for clearer, noise-free clinical scans.
Deep Learning Segmentation of Peritoneal Cancer in CT Scans
Discover how deep learning improves segmentation of peritoneal cancer regions from CT scans, enhancing accuracy and reducing invasive procedures.
RIHA: Advanced Radiology Report Generation with Hierarchical Alignment
RIHA improves radiology report generation by aligning images and reports hierarchically for accurate, efficient diagnostic summaries in medical imaging.
BrainDINO: Advanced Brain MRI Model for Clinical AI
Discover BrainDINO, a self-supervised brain MRI model that enhances clinical diagnosis and neuroimaging with minimal labeled data.