Deep learning has emerged as a powerful tool in medical imaging, fundamentally transforming the field by automatically learning intricate patterns and features from large datasets. Its application spans various tasks such as image classification, segmentation, registration, reconstruction, and synthesis across diverse modalities including MRI, CT, PET/CT, PET/MRI, ultrasound, and X-ray.
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