Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
SegmentationReview: A Slicer3D extension for fast review of AI-generated segmentations
3
Zitationen
6
Autoren
2023
Jahr
Abstract
SegmentationReview is a package developed in Python for fast review and editing of biomedical image segmentations. Biomedical imaging segmentation quality assessment is a crucial part of the development medical artificial intelligence (AI) algorithms but is time-consuming and labor-intensive. SegmentationReview has several components that facilitate efficient segmentation review, including automated importing of lists of images and segmentations into Slicer3D, a user-friendly graphical user interface for reviewing and assessing the quality of the segmentation, and automated tabular data-saving. The package has been tested and released as an open-source extension for Slicer3D. It enables fast, user-friendly review and editing for biomedical image segmentations.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.292 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.143 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.539 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.452 Zit.