Abstract
A project of a neuro-fuzzy system for automatic segmentation and characterization of intravascular ultrasound images is presented. The segmentation is performed by the use of the Fuzzy C Means algorithm and characterization is performed by using a neuro-fuzzy system capable of learning from images manually segmented and labeled by medical doctors. The proposed system has just been developed, and, in the actual stage, preliminary tests with the Inter Class Contrast validity measure have presented encouraging results.
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.
