Pretraining classifiers on diffusion-generated synthetic fetal ultrasound images and fine-tuning on real images improves classification accuracy across five architectures, mostly for underrepresented classes.
A review of the application of deep learning in medical image classification and segmentation
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Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models
Pretraining classifiers on diffusion-generated synthetic fetal ultrasound images and fine-tuning on real images improves classification accuracy across five architectures, mostly for underrepresented classes.