Adding 5,000 CytoDiff-generated synthetic white blood cell images per class is reported to improve ResNet-50 accuracy from 27% to 78% and CLIP accuracy from 62% to 77% on the Munich AML dataset.
Improving image generation with better captions
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CytoDiff: AI-Driven Cytomorphology Image Synthesis for Medical Diagnostics
Adding 5,000 CytoDiff-generated synthetic white blood cell images per class is reported to improve ResNet-50 accuracy from 27% to 78% and CLIP accuracy from 62% to 77% on the Munich AML dataset.