An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images
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- 作者：Mariana A. Nogueira ; Pedro H. Abreu ; Pedro Martins ; Penousal Machado…
- 关键词：Artificial neural networks ; Images descriptors ; PET/CT images ; Treatment response assessment
- 刊名：BMC Medical Imaging
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：17
- 期：1
- 全文大小：477KB
- 刊物主题：Imaging / Radiology;
- 出版者：BioMed Central
- ISSN：1471-2342
- 卷排序：17
文摘
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.