Name
Title | ||
|---|---|---|
Fully automated lumen and vessel contour segmentation in intravascular ultrasound datasets |
Abstract | ||
|---|---|---|
•Use of convolutional neural networks and Gaussian processes for IVUS segmentation.•Exhaustive training/validation/testing with 8427/2583/2425 manually segmented frames.•Comprehensive performance assessment through image and contour metrics.•Accuracy (Jaccard median) for lumen (0.91) and vessel (0.94) contours. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.media.2021.102262 | Medical Image Analysis |
Keywords | DocType | Volume |
IVUS,Lumen,Vessel,Segmentation,Deep learning,Gaussian process | Journal | 75 |
ISSN | Citations | PageRank |
1361-8415 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pablo J. Blanco | 1 | 19 | 6.38 |
| Paulo G P Ziemer | 2 | 0 | 0.34 |
| Carlos A Bulant | 3 | 0 | 0.34 |
| Yasushi Ueki | 4 | 0 | 0.34 |
| Ronald Bass | 5 | 0 | 0.34 |
| Lorenz Raber | 6 | 3 | 0.92 |
| pedro a lemos | 7 | 12 | 6.45 |
| hector m garciagarcia | 8 | 10 | 2.14 |