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Fine-tuning, a process where pre-trained models are further trained on task-specific data, allows the model to adapt and refine its representations to the specific medical imaging domain. Interpretability and Explainability One challenge with deep learning models in medical image analysis is their black-box nature.
Synthetic data generation to help overcome datascarcity and privacy problems in computer vision. Future Directions ExplainableAI: ExplainableAI (XAI) is one research paradigm that can help you detect biases easily. Read our article about ethical challenges at OpenAI.
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