Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI
This paper presents an automatic lesion segmentation method based on similarities between multichannel patches. A patch database is built using training images for which the label maps are known. For each patch in the testing image, k similar patches are retrieved from the database. The matching lab...
Saved in:
| Main Authors: | Roey Mechrez, Jacob Goldberger, Hayit Greenspan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2016/7952541 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution
by: Oren Freifeld, et al.
Published: (2009-01-01) -
Image harmonization improves consistency of intra-rater delineations of MS lesions in heterogeneous MRI
by: Aaron Carass, et al.
Published: (2024-03-01) -
A comparison of supervised machine learning algorithms and feature vectors for MS lesion segmentation using multimodal structural MRI.
by: Elizabeth M Sweeney, et al.
Published: (2014-01-01) -
Scanner-specific optimisation of automated lesion segmentation in MS
by: David R. van Nederpelt, et al.
Published: (2024-01-01) -
Scene Consistency Verification Based on PatchNet
by: Jinjiang Li, et al.
Published: (2014-01-01)