Name
Abstract | ||
|---|---|---|
Brain stroke lesion segmentation is of great importance for stroke rehabilitation neuroimaging analysis. Due to the large variance of stroke lesion shapes and similarities of tissue intensity distribution, it remains a challenging task. To help detect abnormalities, the anatomical symmetries of brain magnetic resonance (MR) images have been widely used as visual cues for clinical practices. Howeve... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JBHI.2021.3113460 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Lesions,Image segmentation,Mirrors,Feature extraction,Convolution,Semantics,Biomedical imaging | Journal | 26 |
Issue | ISSN | Citations |
4 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |