@inproceedings{5efa1c931be54aa29350ea364e747584,
title = "Automated snake initialization for the segmentation of the prostate in ultrasound images",
abstract = "Segmentation is a crucial task in medical image processing. Snakes or Active Contour Models (ACM) are valuable tools to segment images. However, they need a good initialization, which is usually provided manually by an expert. In order to achieve a reliable automation of prostate segmentation in ultrasound images, morphological techniques have been used in this work to automatically generate the initial snake. The accuracy of the proposed approach is verified by testing several images. The automated segmentation of the prostate can be done in the majority of the cases without user interaction.",
keywords = "Active Contour Model, Initial Snake, Mathematical Morphology, Prostate, Seed Points, Ultrasound",
author = "S. Rahnamayan and Tizhoosh, {H. R.} and Salama, {M. M.A.}",
year = "2005",
doi = "10.1007/11559573_113",
language = "English (US)",
isbn = "3540290699",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "930--937",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "2nd International Conference on Image Analysis and Recognition, ICIAR 2005 ; Conference date: 28-09-2005 Through 30-09-2005",
}