@inproceedings{f05bf527ec7f4ff69c94ef19c2c108a8,
title = "Liver segmentation from 3D abdominal CT images",
abstract = "Segmentation of the whole liver region from computed tomography (CT) image is the first step in the computer-aided diagnosis for liver disease. In this paper, we propose a new method for segmenting liver region from 3D CT images of abdomen using enhanced Otsu method. Our algorithm uses Otsu method with some improvements to construct intensity model and shape model for liver. First, the 3D CT image of abdomen is cropped, preserving only the part that contains liver. Second, the liver region in each slice of preserved part is segmented using intensity model. Finally, the segmented liver regions from all slices are post-processed to increase performance and merged into a single liver region.",
keywords = "3D abdominal CT image, liver segmentation, Medical image processing, Otsu method",
author = "Bao, {Pham The} and Tai, {Tran Hong} and Duong, {Viet Hang} and Wang, {Jia Ching}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 ; Conference date: 06-06-2015 Through 08-06-2015",
year = "2015",
month = aug,
day = "20",
doi = "10.1109/ICCE-TW.2015.7216933",
language = "???core.languages.en_GB???",
series = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "342--343",
booktitle = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",
}