Open-source deep learning framework for medical imaging: segmentation, classification and model training.
MONAI is an open-source deep learning framework for medical imaging built on PyTorch, providing medical image pre-processing, data augmentation, network models, loss functions, training workflows and evaluation tools. It suits medical image segmentation, classification, detection and research model development.
Use cases: deep learning for medical imaging, image segmentation, model training, PyTorch, volume data analysis
Note: medical imaging AI research requires rigorous data splitting, validation design and ethical compliance.
