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View article: Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering
Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering Open
An automated knowledge modeling algorithm for Cancer Clinical Practice Guidelines (CPGs) extracts the knowledge contained in the CPG documents and transforms it into a programmatically interactable, easy-to-update structured model with min…
View article: Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors
Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors Open
Many segmentation networks have been proposed for 3D volumetric segmentation of tumors and organs at risk. Hospitals and clinical institutions seek to accelerate and minimize the efforts of specialists in image segmentation. Still, in case…
View article: Automated Knowledge Modeling for Cancer Clinical Practice Guidelines
Automated Knowledge Modeling for Cancer Clinical Practice Guidelines Open
Clinical Practice Guidelines (CPGs) for cancer diseases evolve rapidly due to new evidence generated by active research. Currently, CPGs are primarily published in a document format that is ill-suited for managing this developing knowledge…