@inproceedings{6c6c9f3ccdb640dcbfc798064e49eb4d,
title = "Automatic detection of bones based on the confidence map for Rheumatoid Arthritis analysis",
abstract = "In this paper an application of confidence map for bones surface detection in ultrasound images for Rheumatoid Arthritis is presented. The bone feature descriptor is based on confidence maps, which are directly related with the likelihood of ultrasound transmission and allows for highly accurate localization of the bone surface. The quality of the confidence map has been significantly improved by applying the Trimmed Non-Local Means filtering. The results were evaluated on the publicly available MEDUSA database that contains manually annotated markers of bones surface. This research is a preliminary step in the development of fully automatic system for the assessment of degree of synovitis inflamation.",
author = "K. Radlak and N. Radlak and B. Smolka",
note = "Publisher Copyright: {\textcopyright} 2016 Taylor \& Francis Group, London.; 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 ; Conference date: 19-10-2015 Through 21-10-2015",
year = "2016",
doi = "10.1201/b19241-36",
language = "English",
isbn = "9781138029262",
series = "Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015",
publisher = "CRC Press/Balkema",
pages = "215--220",
editor = "Tavares, \{Joao Manuel R.S.\} and Jorge, \{R.M. Natal\}",
booktitle = "Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015",
}