Tag: 3D medical imaging
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CT-Guided Spatial Regularization for Whole-Body PET Registration
Enhance whole-body PET registration accuracy with CT-guided spatially-varying regularization for improved tumor assessment and treatment planning.
SGP-SAM: Advanced 3D Lesion Segmentation with AI
Discover SGP-SAM, a novel AI framework enhancing 3D lesion segmentation accuracy by transferring Segment Anything Models to medical imaging.
AGI Forecasting: Methods, Gaps & Strategic Insights
Explore AGI forecasting methods, key limitations, and strategic implications to improve predictions and prepare for AI's future impact.
CT-FineBench: Benchmark for Accurate CT Report Evaluation
CT-FineBench offers a fine-grained benchmark to evaluate CT report generation, improving diagnostic accuracy and aligning with expert clinical assessments.
Machine Unlearning and Clinical Safety in Medical Imaging
Explore how machine unlearning impacts clinical safety in medical image classification and discover the risk-aware SalUn-CRA method.