Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/108105
Title: | An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images | Authors: | Nogueira, Mariana A. Abreu, Pedro H. Martins, Pedro Machado, Penousal Duarte, Hugo Santos, João |
Keywords: | Artificial neural networks; Images descriptors; PET/CT images; Treatment response assessment | Issue Date: | 13-Feb-2017 | Publisher: | Springer Nature | Project: | project NORTE-01-0145-FEDER-000027, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). | Serial title, monograph or event: | BMC Medical Imaging | Volume: | 17 | Issue: | 1 | Abstract: | Background: Positron 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. Methods: In this project, Artificial Neural Network approaches were implemented to automatically assess treatment response of patients suffering from neuroendocrine tumors and Hodgkyn lymphoma, based on image features extracted from PET/CT. Results: The results show that the considered set of features allows for the achievement of very high classification performances, especially when data is properly balanced. Conclusions: After synthetic data generation and PCA-based dimensionality reduction to only two components, LVQNN assured classification accuracies of 100%, 100%, 96.3% and 100% regarding the 4 response-to-treatment classes. | URI: | https://hdl.handle.net/10316/108105 | ISSN: | 1471-2342 | DOI: | 10.1186/s12880-017-0181-0 | Rights: | openAccess |
Appears in Collections: | FCTUC Eng.Informática - Artigos em Revistas Internacionais I&D CISUC - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
An-artificial-neural-networks-approach-for-assessment-treatment-response-in-oncological-patients-using-PETCT-imagesBMC-Medical-Imaging.pdf | 477.44 kB | Adobe PDF | View/Open |
Page view(s)
97
checked on Sep 25, 2024
Download(s)
56
checked on Sep 25, 2024
Google ScholarTM
Check
Altmetric
Altmetric
This item is licensed under a Creative Commons License