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View All on GitHub Medical Image Analysis • Aneurysm Detection
Model Architecture and Model Training Approach 28 days ago
AI Summary: The task involves implementing a 3D U-Net model for intracranial aneurysm detection in multimodal medical images. This includes defining the model architecture, implementing a loss function, creating training functions, building a training loop, running the training pipeline, and evaluating the model's performance (epochs). The project uses data labeled with specific aneurysm locations within the brain's arterial system.
Complexity:
5/5
help wanted
Detect the presence and location of intracranial aneurysms in multimodal imaging data
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#image-classification#medicine#multi-label-classification