The two key challenges in mining surgical textbooks for executable information are extracting structured high-level information from texts written in natural language and presenting the information thus extracted to the systems modules that need it, in a format that is suitable for use. This contribution focuses on the latter challenge, a key integration step toward cognitive surgical robotics
Reading as an Enabling Technology: Informing Surgical Robots with Spatial Information
Fiazza, Maria-Camilla Fiazza
;Bombieri, Marco;Fiorini, Paolo
2022-01-01
Abstract
The two key challenges in mining surgical textbooks for executable information are extracting structured high-level information from texts written in natural language and presenting the information thus extracted to the systems modules that need it, in a format that is suitable for use. This contribution focuses on the latter challenge, a key integration step toward cognitive surgical roboticsFile in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
CRAS2022_paper60_IRIS.pdf
accesso aperto
Descrizione: Articolo Principale
Tipologia:
Documento in Pre-print
Licenza:
Creative commons
Dimensione
377.34 kB
Formato
Adobe PDF
|
377.34 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.