Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. (arXiv:2206.08787v1 [eess.IV])

Web: http://arxiv.org/abs/2206.08787

Pancreatic cancers have one of the worst prognoses compared to other cancers,
as they are diagnosed when cancer has progressed towards its latter stages. The
current manual histological grading for diagnosing pancreatic adenocarcinomas
is time-consuming and often results in misdiagnosis. In digital pathology,
AI-based cancer grading must be extremely accurate in prediction and
uncertainty quantification to improve reliability and explainability and are
essential for gaining clinicians trust in the technology. We present Bayesian
Convolutional Neural Networks for automated pancreatic cancer …

arxiv deep deep learning learning uncertainty