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SKET has been integrated as a core system into different downstream applications for digital pathology. Fig. 8 depicts the SKET ecosystem, where SKET UP represents the online access point to interact with SKET, SKET X provides explanations for SKET results, medTAG 33 integrates SKET automatic annotations to support semi-automatic tagging, and.
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SKET is a practical and unsupervised approach to extracting knowledge from pathology reports, which opens up unprecedented opportunities to exploit textual and multimodal medical information in clinical practice. We also propose SKET eXplained (SKET X), a web-based system providing visual explanations about the algorithmic decisions taken by.
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Digital pathology applications. SKET has been integrated as a core system into different downstream applications for digital pathology. Fig. 8 depicts the SKET ecosystem, where SKET UP represents the online access point to interact with SKET, SKET X provides explanations for SKET results,.