A Vision Transformer trained with weak supervision on 100,000 image patches classifies anaplastic large cell lymphoma versus classic Hodgkin lymphoma at 91.85% accuracy, 0.92 F1, and 0.98 AUC.
An image is worth 16x16 words: transformers for image recognition at scale
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Artificial intelligence application in lymphoma diagnosis with Vision Transformer using weakly supervised training
A Vision Transformer trained with weak supervision on 100,000 image patches classifies anaplastic large cell lymphoma versus classic Hodgkin lymphoma at 91.85% accuracy, 0.92 F1, and 0.98 AUC.