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pro vyhledávání: '"C, Sneha Sree"'
Autor:
Ta, Pralaypati, Gupta, Bhumika, Jain, Arihant, C, Sneha Sree, Ram, Keerthi, Sivaprakasam, Mohanasankar
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 minimal human
Externí odkaz:
http://arxiv.org/abs/2407.21053
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 of errors
Externí odkaz:
http://arxiv.org/abs/2308.05068
Autor:
Ta, Pralaypati, Gupta, Bhumika, Jain, Arihant, C, Sneha Sree, Sarkar, Arunima, Ram, Keerthi, Sivaprakasam, Mohanasankar
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. A knowled
Externí odkaz:
http://arxiv.org/abs/2307.10231
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