Tag: 3D medical imaging
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Explainable Vision-Language Model for Lumbar Spinal Stenosis
Discover an explainable vision-language model using adaptive PID-Tversky loss to improve lumbar spinal stenosis diagnosis accuracy and interpretability.
Deep Learning for Diabetic Retinopathy: Dataset Insights
Explore how deep learning and quality datasets improve diabetic retinopathy detection, grading, and screening for better patient outcomes.
ECG and Anatomy-Guided Myocardial Scar Segmentation in MRI
Improve myocardial scar segmentation accuracy using ECG and anatomical knowledge with LGE cardiac MRI for better heart condition assessment.
MAESIL: 3D Masked Autoencoder for Medical Image Learning
Discover MAESIL, a 3D masked autoencoder improving self-supervised learning for medical imaging with enhanced 3D context and superior CT scan analysis.