Nov 29, 2023 · Our study uncovers a sensitivity of feature extractor models towards aggregation model configurations, indicating that performance comparability can be skewed.
Sep 28, 2024 · Our study uncovers a sensitivity of feature extractor models towards aggregation model configurations, indicating that performance comparability can be skewed.
Oct 5, 2024 · This comprehensive approach provides a more nuanced understanding of the feature extractors' sensitivity to various aggregation model ...
Digital pathology has significantly advanced disease detection and pathologist efficiency through the analysis of gigapixel whole-slide images (WSI).
Oct 2, 2024 · The integration streamlined our digital sign-out workflow, diminished the potential for human error related to matching slides, and improved the ...
Sep 9, 2023 · FMs can be fine-tuned - after they have been pre-trained - for specific downstream tasks to deliver high-performance results on a wide range of ...
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Jul 22, 2024 · We demonstrate that a large foundation model enables pan-cancer detection, achieving 0.95 specimen-level area under the (receiver operating characteristic) ...
Digital pathology has transformed the traditional pathology practice of analyzing tissue under a microscope into a computer vision workflow.
Nov 7, 2024 · Foundation models are pre-trained on massive datasets and can be fine-tuned for various downstream tasks, such as disease diagnosis, patient ...
Jul 18, 2024 · This not only expedites the diagnostic process but also minimizes errors in interpretation and classification. Deep networks inherently capture ...