Name
Title | ||
|---|---|---|
Classification of Cross-sections for Vascular Skeleton Extraction Using Convolutional Neural Networks. |
Abstract | ||
|---|---|---|
Recent advances in Computed Tomography Angiography provide high-resolution 3D images of the vessels. However, there is an inevitable requisite for automated and fast methods to process the increase ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-60964-5_16 | MIUA |
Field | DocType | Volume |
Computer vision,Computer science,Convolutional neural network,Computed tomography angiography,Artificial intelligence,Skeleton (computer programming) | Conference | 723 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kristína Lidayová | 1 | 0 | 0.34 |
| Anindya Gupta | 2 | 2 | 1.04 |
| Hans Frimmel | 3 | 28 | 5.14 |
| Ida-Maria Sintorn | 4 | 114 | 13.85 |
| ewert bengtsson | 5 | 135 | 25.36 |
| Örjan Smedby | 6 | 0 | 0.34 |