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.
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.