@inproceedings{44199e3c1cba402681cb185ca8ce6a76,
title = "3D brain tumor segmentation using fuzzy classification and deformable models",
abstract = "A new method that automatically detects and segments brain tumors in 3D MR images is presented. An initial detection is performed by a fuzzy possibilistic clustering technique and morphological operations, while a deformable model is used to achieve a precise segmentation. This method has been successfully applied on five 3D images with tumors of different sizes and different locations, showing that the combination of region-based and contour-based methods improves the segmentation of brain tumors.",
author = "Hassan Khotanlou and Jamal Atif and Olivier Colliot and Isabelle Bloch",
year = "2006",
month = jun,
day = "23",
doi = "10.1007/11676935\_39",
language = "English",
isbn = "3540325298",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "312--318",
booktitle = "Fuzzy Logic and Applications - 6th International Workshop, WILF 2005, Revised Selected Papers",
note = "6th International Workshop - Fuzzy Logic and Applications ; Conference date: 15-09-2005 Through 17-09-2005",
}