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

V. Aubert 1 Oscar Acosta 1 N. Rioux-Leclercq 2, 3 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 en santé, environnement et travail
3 CHU Pontchaillou [Rennes]
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 : Radiosensitivity Gleason score Hypoxia Prostate radiotherapy Tumor mathematical model
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Conference papers
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01618934
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, October 18, 2017 - 5:15:29 PM
Last modification on : Tuesday, January 21, 2020 - 1:12:37 AM

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UNIV-RENNES1 | LTSI | UNIV-ANGERS | IRSET | BIOSIT | IRSET-8 | UR1-UFR-SVE | UNIV-RENNES

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V. Aubert, Oscar 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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