Abstract
This paper presents an automatic interpretation system to support diagnostic biomedical image analysis. The system is organized in three modules: image segmentation; low level object interpretation; and high level biomedical object interpretation, in terms of clinical finding using a semantic model. The domain-specific knowledge used concerns the nailfold capillaries of the human finger, and is organized in a semantic network. User-defined semantic networks may be supplied to extend the system to other problem domains.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
