Key Takeaways Quick Summary Convolutional neural networks (CNNs) are powerful tools for image classification but are often too large for resource-constrained hardware. Researchers have developed a pruning method using Conditional Mutual Information (CMI) to measure and rank the importance of features across network layers. This strategy enables selective removal of less critical components while preserving…

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Key Takeaways Quick Summary Coronary artery disease (CAD) remains a leading cause of mortality, requiring effective screening tools like coronary artery calcium (CAC) scoring via CT scans. Researchers have addressed limitations of traditional models by introducing DINO-LG, an AI model using self-supervised learning with label guidance. Without requiring annotated datasets, the model detects calcifications with…

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