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Found 7 papers, 1 papers with code
Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale
They allow the creation of synthesized copies of datasets that can be shared without violating privacy regulations.
Ethical ChatGPT: Concerns, Challenges, and Commandments
Large language models, e. g. ChatGPT are currently contributing enormously to make artificial intelligence even more popular, especially among the general population.
Recommendations on test datasets for evaluating AI solutions in pathology
The recommendations are intended to help AI developers demonstrate the utility of their products and to help regulatory agencies and end users verify reported performance measures.
The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond
Machine Learning (ML) and Artificial Intelligence (AI) have shown promising results in many areas and are driven by the increasing amount of available data.
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning
Our approach can be used to explain predictions from a prognostic deep learning model and uncover potentially-novel prognostic features that can be reliably identified by people for future validation studies.
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations
In order to build effective and efficient interactive human-AI interfaces we have to deal with the question of how to evaluate the quality of explanations given by an explainable AI system.
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology
The foundation of such an "augmented pathologist" needs an integrated approach: While machine learning algorithms require many thousands of training examples, a human expert is often confronted with only a few data points.
