@inproceedings{bcc56b6b9fbe4dc1b3444cdcae0ef2d3,
title = "Interval-valued fuzzy system for segmentation of prostate ultrasound images",
abstract = "In this paper we introduce an application of interval-valued systems to the segmentation of prostate ultrasound images. The system classifies each pixel as prostate or background. The input variables are the values of each pixel in different processed images as proximity, edginess and enhanced image. The system has 20 rules and is trained with ideal images segmented by an expert. Interval-valued fuzzy systems have been used due to their potential to capture uncertainty in a more robust way compared to ordinary fuzzy systems.",
keywords = "Image segmentation, Interval-valued fuzzy sets, Ultrasound image",
author = "Miguel Pagola and Edurne Barrenechea and Aranzazu Jurio and Mikel Galar and Pedro Couto and Farhang Sahba and Tizhoosh, {Hamid R.}",
year = "2009",
language = "English (US)",
isbn = "9789899507968",
series = "2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings",
pages = "1164--1168",
booktitle = "2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings",
note = "Joint 2009 International Fuzzy Systems Association World Congress, IFSA 2009 and 2009 European Society of Fuzzy Logic and Technology Conference, EUSFLAT 2009 ; Conference date: 20-07-2009 Through 24-07-2009",
}