Name
Title | ||
|---|---|---|
Comprehensive Assessment of Coronary Calcification in Intravascular OCT Using a Spatial-Temporal Encoder-Decoder Network |
Abstract | ||
|---|---|---|
Coronary calcification is a strong indicator of coronary artery disease and a key determinant of the outcome of percutaneous coronary intervention. We propose a fully automated method to segment and quantify coronary calcification in intravascular OCT (IVOCT) images based on convolutional neural networks (CNN). All possible calcified plaques were segmented from IVOCT pullbacks using a spatial-temp... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TMI.2021.3125061 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Three-dimensional displays,Image segmentation,Spatial resolution,Imaging,Medical services,Lesions,Planning | Journal | 41 |
Issue | ISSN | Citations |
4 | 0278-0062 | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |