Name
Title | ||
|---|---|---|
Translating Cancer Research into Clinical Practice: A Framework for Analyzing and Modeling Cancer from Imaging Data |
Abstract | ||
|---|---|---|
This paper presents the work of our group concerning cancer image analysis and modeling. The adopted strategy aims to build a complete system for analysis and visualization of DICOM tomographic data, offering a variety of annotation or automatic segmentation tools as well as tools for tumor growth simulation and visualization. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ISDA.2009.235 | ISDA |
Keywords | Field | DocType |
translating cancer research,tumor growth simulation,cancer image analysis,imaging data,dicom tomographic data,modeling cancer,complete system,clinical practice,automatic segmentation tool,mathematical model,image processing,cancer,pixel,image analysis,data visualisation,image segmentation,cancer research | Data science,Computer science,Image processing,Image segmentation,Artificial intelligence,Computer vision,Data visualization,Annotation,DICOM,Visualization,Segmentation,Machine learning,Cancer | Conference |
ISSN | Citations | PageRank |
2164-7143 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vangelis Sakkalis | 1 | 110 | 23.68 |
| Konstantinos Marias | 2 | 8 | 3.26 |
| Alexandros Roniotis | 3 | 14 | 2.80 |
| Emmanouil Skounakis | 4 | 0 | 0.34 |