Cargando…
Comparative Analysis of Neural Network Training Methods in Real-time Radiotherapy
BACKGROUND: The motions of body and tumor in some regions such as chest during radiotherapy treatments are one of the major concerns protecting normal tissues against high doses. By using real-time radiotherapy technique, it is possible to increase the accuracy of delivered dose to the tumor region...
Autores principales: | Nouri, S., Hosseini Pooya2, S.M., Soltani Nabipour, J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Journal of Biomedical Physics and Engineering
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5401133/ https://www.ncbi.nlm.nih.gov/pubmed/28451579 |
Ejemplares similares
-
Memristor networks for real-time neural activity analysis
por: Zhu, Xiaojian, et al.
Publicado: (2020) -
The Influence of Virtual Reality Head-Mounted Displays on Balance Outcomes and Training Paradigms: A Systematic Review
por: Soltani, Pooya, et al.
Publicado: (2021) -
Real-Time Target Detection Method Based on Lightweight Convolutional Neural Network
por: Yun, Juntong, et al.
Publicado: (2022) -
Real-Time Modulation of Physical Training Intensity Based on Wavelet Recursive Fuzzy Neural Networks
por: Fang, Wenzhou, et al.
Publicado: (2022) -
Evaluation of Effective Sources in Uncertainty Measurements of Personal Dosimetry by a Harshaw TLD System
por: Hosseini Pooya, SM, et al.
Publicado: (2014)