Neural network model of cell survival under hyperthermia

Autor:	V. V. Kosterev, O. A. Mishulina, A. G. Trofimov
Předmět:	Hyperthermia Recurrent neural network Artificial neural network Computer science medicine medicine.disease Biological system Structure learning Cell survival
Zdroj:	Scopus-Elsevier World Congress on Medical Physics and Biomedical Engineering 2006 ISBN: 9783540368397
Popis:	Dynamical neural model of cell survival function under hyperthermia conditions based on recurrent neural structure with controlled parameters is considered. Two-stage algorithm of neural structure learning is developed. As an illustration the neural model for cell survival data of Chinese hamster CHO cells under hyperthermia is elaborated. The simulation results of trained neural structure show that this model is capable to forecast the cell survival curves under arbitrary temperature and hyperthermia duration with admissible error.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02c48365a64818349ad2d5a8110e022e http://www.scopus.com/inward/record.url?eid=2-s2.0-84958232024&partnerID=MN8TOARS Zobrazit plný text záznamu