@inproceedings{81e413332ea848abada23757046412cc,
title = "Corpus callosum segmentation from brain MRI images based on level set method",
abstract = "Corpus callosum integrates left and right hemispheres of human brain. There are several methods for segmenting corpus callosum, but the existing algorithms need several steps to segment images. Therefore, we propose a simple method using level set method to segment corpus callosum. We use level set method as it can handle the structure of the brain easily. This method provides a numerical solution for processing changes in topological contours by representing a curve or surface as a zero level to a higher hyper-dimensional surface. This experiment shows that by implementing level set method to segment the corpus callosum produces Dice Similarity Coefficient (DSC) value of 85.14\%.",
keywords = "Brain, Carpus Callosum, Level Set, MRI, Unsupervised Learning",
author = "Putri Damayanti and Dini Yuniasri and Riyanarto Sarno and Aziz Fajar and Dewi Rahmawati",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Seminar on Application for Technology of Information and Communication, iSemantic 2020 ; Conference date: 19-09-2020 Through 20-09-2020",
year = "2020",
month = sep,
day = "19",
doi = "10.1109/iSemantic50169.2020.9234268",
language = "English",
series = "Proceedings - 2020 International Seminar on Application for Technology of Information and Communication: IT Challenges for Sustainability, Scalability, and Security in the Age of Digital Disruption, iSemantic 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "155--160",
booktitle = "Proceedings - 2020 International Seminar on Application for Technology of Information and Communication",
address = "United States",
}