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Found 6 papers, 1 papers with code
Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review
To give an overview of the current state of research, this review examines 83 publicly available research studies that have proposed AI-based methods for whole-slide histopathology images of human gliomas, covering the diagnostic tasks of subtyping (23/83), grading (27/83), molecular marker prediction (20/83), and survival prediction (29/83).
Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative
Over the past decade, artificial intelligence (AI) methods in pathology have advanced substantially.
Digitization of Pathology Labs: A Review of Lessons Learned
Pathology laboratories are increasingly using digital workflows.
The NCI Imaging Data Commons as a platform for reproducible research in computational pathology
Conclusions: We conclude that the IDC facilitates approaching the reproducibility limit of CompPath research (i) by enabling researchers to reuse exactly the same datasets and (ii) by integrating with cloud ML services so that experiments can be run in identically configured computing environments.
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.
Evaluating Generic Auto-ML Tools for Computational Pathology
The goal of this article is to evaluate how generic tools for neural network architecture search and hyperparameter optimization perform for common use cases in computational pathology.
