@inproceedings{e7c798b3516842649ba1dd3628cb9ae1,
title = "Innovative visualization and segmentation approaches for telemedicine",
abstract = "In health care applications, we obtain, manage, store and communicate using high quality, large volume of image data through integrated devices. In this paper we propose several promising methods that can assist physicians in image data process and communication. We design a new semi-automated segmentation approach for radiological images, such as CT and MRI to clearly identify the areas of interest. This approach combines the advantages from both the region-based method and boundary-based methods. It has three key steps compose: coarse segmentation by using fuzzy affinity and homogeneity operator, image division and reclassification using the Voronoi Diagram, and refining boundary lines using the level set model.",
keywords = "Fuzzy affinity, Large volume of image data, Segmentation, The Level Set model, The Voronoi Diagram",
author = "D. Nguyen and Hans Roehrig and Borders, {Marisa H.} and Fitzpatrick, {Kimberly A.} and Janet Roveda",
note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Medical Applications of Radiation Detectors IV ; Conference date: 18-08-2014 Through 21-08-2014",
year = "2014",
doi = "10.1117/12.2066183",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Roehrig, {Hans N.} and Furenlid, {Lars R.} and Barber, {H. Bradford}",
booktitle = "Medical Applications of Radiation Detectors IV",
}