Enhancement of breathing simulation using individual lobe segmentation

Autor: Lertrusdachakul Intuon, Leni Pierre-Emmanuel, Gschwind Regine

Publikováno v: EPJ Web of Conferences, Vol 124, p 00005 (2016)

To tackle thorax movement from CT images, we have developed a platform to simulate a customized breathing cycle, where the pulmonary movement has been considered only at the rough border of the whole lung by artificial neural networks (ANN). The goal

Externí odkaz: https://doaj.org/article/e424bb1c59d84f2184762ad7c5ea4484

Computing IMRT dose distributions with artificial intelligence

Autor: Leni, Pierre-Emmanuel, Gschwind, R, Makovicka, L., Lertrusdachakul, Intuon

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::c6a74e5b6e9ea582cf1f8c87b7da2637
https://hal.science/hal-03530214

Enhancement of breathing simulation using individual lobe segmentation

Autor: Lertrusdachakul, Intuon, Leni, Pierre-Emmanuel, Gschwind, Régine

Publikováno v: France. 124 ( 00005), pp.9, 2016, EPJ Web of Conferences, 〈10.1051/epjconf/201612400005〉
France. 124 ( 00005), pp.9, 2016, EPJ Web of Conferences, ⟨10.1051/epjconf/201612400005⟩

International audience; To tackle thorax movement from CT images, we have developed a platform to simulate a customized breathing cycle, where the pulmonary movement has been considered only at the rough border of the whole lung by artificial neural

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a177c3b9ec130232aa3430b984ed4498
https://hal.archives-ouvertes.fr/hal-01386113

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