In silico model to simulate the radiation response at various fractionation from histopathological images of prostate tumors

V. Aubert 1 O. Acosta 1 N. Rioux-Leclercq 2 R. Mathieu 1 F. Commandeur 1 R. De Crevoisier 1
1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 Irset - Institut de recherche, santé, environnement et travail
Abstract : Objectives: Using in silico simulations from histopathological cancer prostate specimen, the objectives were to identify the total dose corresponding to various fractionations necessary to destroy the tumor cells (50% to 99.9%) and to assess the impact of the Gleason score on those doses. © 2017 IEEE.
Keywords : Tumor mathematical model Radiosensitivity Gleason score Hypoxia Prostate radiotherapy
Type de document :
Communication dans un congrès
14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Apr 2017, Melbourne, Australia. 〈10.1109/ISBI.2017.7950643〉
Liste complète des métadonnées
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01618934
Contributeur : Laurent Jonchère <>
Soumis le : mercredi 18 octobre 2017 - 17:15:29
Dernière modification le : mercredi 16 mai 2018 - 11:23:42

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V. Aubert, O. Acosta, N. Rioux-Leclercq, R. Mathieu, F. Commandeur, et al.. In silico model to simulate the radiation response at various fractionation from histopathological images of prostate tumors. 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Apr 2017, Melbourne, Australia. 〈10.1109/ISBI.2017.7950643〉. 〈hal-01618934〉

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