Name
Title | ||
|---|---|---|
AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information |
Abstract | ||
|---|---|---|
•Formulate a new framework, where left atrial (LA) segmentation, scar projection onto the LA surface and scar quantification are performed simultaneously.•Solve a challenging task, i.e., fully automated atrial scar quantification from LGE MRI, with promising results compared to the results or algorithms reported in the literature.•Propose a new spatial encoding loss to incorporates spatial information of LA and scars, and explicitly utilize the spatial relationship between LA and scars by shape attention.•Provide thorough validation and parameter studies for the proposed techniques on a public dataset. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.media.2021.102303 | Medical Image Analysis |
Keywords | DocType | Volume |
Atrial segmentation,Scar quantification,Spatial encoding,Shape attention | Journal | 76 |
ISSN | Citations | PageRank |
1361-8415 | 1 | 0.36 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Li | 1 | 33 | 5.37 |
| Veronika A. M. Zimmer | 2 | 17 | 7.66 |
| Julia A Schnabel | 3 | 1978 | 151.49 |
| Xiahai Zhuang | 4 | 411 | 38.76 |