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Found 5 papers, 1 papers with code
Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
Medical image analysis plays a key role in precision medicine as it allows the clinicians to identify anatomical abnormalities and it is routinely used in clinical assessment.
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Artificial Intelligence has emerged as a useful aid in numerous clinical applications for diagnosis and treatment decisions.
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
The recent advancements in artificial intelligence (AI) combined with the extensive amount of data generated by today's clinical systems, has led to the development of imaging AI solutions across the whole value chain of medical imaging, including image reconstruction, medical image segmentation, image-based diagnosis and treatment planning.
Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms
Identification and segmentation of breast masses in mammograms face complex challenges, owing to the highly variable nature of malignant densities with regards to their shape, contours, texture and orientation.
Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans
A similar multi-scale dual pathway 3D CNN is trained to identify coronary artery endpoints for terminating the tracking process.
