Name
Title | ||
|---|---|---|
eIMES 3D: An innovative medical images analysis tool to support diagnostic and surgical intervention. |
Abstract | ||
|---|---|---|
Diagnostic and clinical support is performed by using ever improving DICOM image systems. Huge quantity of clinical images are generated from clinical devices with increasing high performance. Nevertheless, extracting useful information from DICOM images for diagnosis as well as integrating information from different data sources is still a complex task. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.procs.2017.06.122 | Procedia Computer Science |
Keywords | Field | DocType |
Diagnostic Imaging,Distribution of Medical Information,Advanced Stereoscopic 3D Visualization | Output device,Data mining,DICOM,Stereoscopy,Computer science,Medical imaging,Visualization,Network data | Conference |
Volume | ISSN | Citations |
110 | 1877-0509 | 1 |
PageRank | References | Authors |
0.37 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. Iaquinta | 1 | 1 | 0.37 |
| M. Iusi | 2 | 1 | 0.37 |
| Luciano Caroprese | 3 | 140 | 21.01 |
| S. Turano | 4 | 1 | 0.37 |
| Sergio Palazzo | 5 | 835 | 85.49 |
| Francesco Dattola | 6 | 1 | 1.39 |
| Ivana Pellegrino | 7 | 1 | 0.37 |
| Pierangelo Veltri | 8 | 648 | 82.26 |
| Ester Zumpano | 9 | 518 | 62.16 |