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Sharing standardized image-derived data in computational pathology using DICOM

Schacherer, Daniela P. et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognitionmachine-learning
Development and evaluation of computational pathology methods require access to large and diverse datasets. Over the past decade, various initiatives invested significantly into collecting, centralizing, and sharing pathology imaging data. In contrast, sharing of image-derived data such as region-of
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