Name
Title | ||
|---|---|---|
An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images. |
Abstract | ||
|---|---|---|
BackgroundPositron Emission Tomography – Computed Tomography (PET/CT) imaging is the basis for the evaluation of response-to-treatment of several oncological diseases. In practice, such evaluation is manually performed by specialists, which is rather complex and time-consuming. Evaluation measures have been proposed, but with questionable reliability. The usage of before and after-treatment image descriptors of the lesions for treatment response evaluation is still a territory to be explored. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12880-017-0181-0 | BMC Medical Imaging |
Keywords | Field | DocType |
Artificial neural networks, Images descriptors, PET/CT images, Treatment response assessment | Nuclear medicine,PET-CT,Computed tomography,Visual descriptors,Positron emission tomography,Radiology,Artificial neural network,Medicine | Journal |
Volume | Issue | ISSN |
17 | 1 | 1471-2342 |
Citations | PageRank | References |
2 | 0.38 | 20 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mariana A. Nogueira | 1 | 5 | 0.78 |
| Pedro Abreu | 2 | 92 | 19.58 |
| Pedro Martins | 3 | 85 | 24.21 |
| Penousal Machado | 4 | 886 | 127.17 |
| Hugo Duarte | 5 | 8 | 2.23 |
| João Santos | 6 | 20 | 4.80 |