|
|
|
|
LEADER |
01455 am a22001933u 4500 |
001 |
143577 |
042 |
|
|
|a dc
|
100 |
1 |
0 |
|a Wachinger, Christian
|e author
|
700 |
1 |
0 |
|a Brennan, Matthew
|e author
|
700 |
1 |
0 |
|a Sharp, Greg
|e author
|
700 |
1 |
0 |
|a Golland, Polina
|e author
|
245 |
0 |
0 |
|a On the Importance of Location and Features for the Patch-Based Segmentation of Parotid Glands
|
260 |
|
|
|b NumFOCUS - Insight Software Consortium (ITK),
|c 2022-06-28T17:12:51Z.
|
856 |
|
|
|z Get fulltext
|u https://hdl.handle.net/1721.1/143577
|
520 |
|
|
|a <jats:p>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.</jats:p>
|
546 |
|
|
|a en
|
655 |
7 |
|
|a Article
|
773 |
|
|
|t 10.54294/VKFZ56
|
773 |
|
|
|t The MIDAS Journal
|