A ResNet-18 model trained on dual-modality microscopy images distinguishes pancreatic cancer from non-cancer with reported 96.4% sensitivity and specificity, but the evaluation is weakened by small sample size and likely patient-level leakage.
(8) Alves, N.; Schuurmans, M.; Litjens, G.; Bosma, J
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Deep Learning Framework for Early Detection of Pancreatic Cancer Using Multi-Modal Medical Imaging Analysis
A ResNet-18 model trained on dual-modality microscopy images distinguishes pancreatic cancer from non-cancer with reported 96.4% sensitivity and specificity, but the evaluation is weakened by small sample size and likely patient-level leakage.