On the Importance of Location and Features for the Patch-Based Segmentation of Parotid Glands
Name
IJ-925-On_the_Importance_of_Location_and_Features_for_the_Patch-Based_Segmentation_of_Parotid_Glands.pdf
Description
Published version
Size
326.99 KB
Format
Adobe PDF
Checksum (MD5)
a47bd5aba803d8317ea2f04bf38afc0a
Author(s)
Wachinger, Christian
Brennan, Matthew
Sharp, Greg
Golland, Polina
Date Issued
2014
Journal
The MIDAS Journal
Publisher
NumFOCUS - Insight Software Consortium (ITK)
Citation
Wachinger, Christian, Brennan, Matthew, Sharp, Greg and Golland, Polina. 2014. "On the Importance of Location and Features for the Patch-Based Segmentation of Parotid Glands." The MIDAS Journal.
Version
Final published version
Abstract
The segmentation of parotid glands in CT scans of patients with head and neck cancer is an essential part of treatment planning. We introduce a new method for the automatic segmentation of parotid glands that extends existing patch-based approaches in three ways: (1) we promote the use of image features in combination with patch intensity values to increase discrimination; (2) we work with larger search windows than established methods by using an approximate nearest neighbor search; and (3) we demonstrate that location information is a crucial discriminator and add it explicitly to the description. In our experiments, we compare a large number of features and introduce a new multi-scale descriptor. The best performance is achieved with entropy image features in combination with patches and location information.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.54294/VKFZ56
