High-Performance Medical Image Processing

1. Basic Understanding of Medical Imaging Modalities 2. Parallel Computing 3. Basic Understanding of Medical Image Processing 4. Multicore Architectures and Their Applications in Image Processing 5. Machine Learning Applications in Medical Image Processing 6. Conventional and Advanced Magnetic Resonance Imaging Methods 7. Detection and Classification of Brain Tumors from MRI Images by Different Classifiers 8. Tumor Detection Based on 3D Segmentation Using Region of Interest 9. Advances in Parallel Techniques for Hyperspectral Image Processing 10. Case Study: Pulmonary Nodule Detection Using Image Processing and Statistical Networks 11. Embedding Parallelism in Image Processing Techniques and Its Applications 12. High-Performance Computing and Its Requirements in Deep Learning

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• Biologia, ciências da vida
• Ciência ambiental, engenharia e tecnologia
• Ensino de Ciências, ciência geral
• Engenharia biomédica
• Engenharia do controlo automático

Medical Image Processing;HPC;Parallel Computing;DNNs;Mri Dataset;Data Parallelism;Execution Time;Power Consumption;Unsupervised Machine Learning;SVM;HSI Compression;Multi-core Architectures;Otsu's Thresholding;Segmented Slices;Pre-trained Models;Watershed Segmentation Algorithm;SVM Classifier;False Positive Reduction;Watershed Algorithm;Multicore Architectures;Multi-core Processors;CUDA Programming;KNN Classifier;Task Parallelism;Fid