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

V. Aubert; Oscar Acosta; N. Rioux-Leclercq; R. Mathieu; F. Commandeur; R. de Crevoisier

doi:10.1109/ISBI.2017.7950643

Conference papers

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

Document type :

Conference papers

Domain :

Engineering Sciences [physics] / Signal and Image processing

Life Sciences [q-bio] / Bioengineering

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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01618934
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Submitted on : Wednesday, October 18, 2017 - 5:15:29 PM
Last modification on : Tuesday, January 25, 2022 - 6:56:05 PM

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

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

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