@inproceedings{23c3d1ba796240299ad81b9abf10317d,
title = "Set of methods for spontaneous ICH segmentation and tracking from CT head images",
abstract = "Spontaneous intracerebral hemorrhage (ICH) is a common cause of stroke, due to this; the early evolution and quantitative analysis of the ICH is important for the treatment and the course of patient's recovery. Computerbased diagnosis systems have played an important role in quantitative analysis of medical images aiding medical personnel in selecting the appropriated treatment of diseases. This paper outlines a set of three methods for ICH segmentation and tracking from computer tomography (CT) head images, based on a suitable combination of digital image processing and pattern recognition techniques. Two of these methods are carried out in a semiautomatic way and the other one is performed in a manual way. Methods developed were tested successfully by medical researchers in a representative dataset of CT head images (patient studies).",
keywords = "3D mathematic morphology, Deformable models, Intracerebral hemorrhage, Medical images analysis, Segmentation and tracking",
author = "Noel P{\'e}rez and Vald{\'e}s, \{Jos{\'e} A.\} and Guevara, \{Miguel A.\} and Rodr{\'i}guez, \{Luis A.\} and Molina, \{J. M.\}",
year = "2007",
language = "Ingl{\'e}s",
isbn = "9783540767244",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "212--220",
booktitle = "Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings",
note = "12th Iberoamerican Congress on Pattern Recognition, CIARP 2007 ; Conference date: 13-11-2007 Through 16-11-2007",
}