Výsledky vyhledávání - "Damla S. Unat"

Machine learning approach using 18F-FDG PET-based radiomics in differentiation of lung adenocarcinoma with bronchoalveolar distribution and infection

Autor: Nurşin Agüloğlu, Ayşegül Aksu, Damla S. Unat

Publikováno v: Nuclear Medicine Communications. 44:302-308

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::98480e60ef30c6af273bb8e587870577
https://doi.org/10.1097/mnm.0000000000001667

Zobrazit plný text záznamu

The prognostic relationship of 18F-FDG PET/CT metabolic and volumetric parameters in metastatic ALK + NSCLC

Autor: Nurşin, Agüloğlu, Ayşegül, Aksu, Damla S, Unat, Murat, Akyol

Publikováno v: Nuclear Medicine Communications. 43:1217-1224

The aim of this study is to determine the role of metabolic and volumetric parameters obtained from 18Fluorine-Fluorodeoxyglucose PET/computed tomography (18F-FDG PET/CT) imaging on progression-free survival (PFS) and overall survival (OS) in patient

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee25fe3e62a828cad276e527aa641605
https://doi.org/10.1097/mnm.0000000000001625

Zobrazit plný text záznamu

Akademický článek

Machine learning approach using 18 F-FDG PET-based radiomics in differentiation of lung adenocarcinoma with bronchoalveolar distribution and infection.

Autor: Agüloğlu, Nurşin, Aksu, Ayşegül, Unat, Damla S.

Publikováno v: Nuclear Medicine Communications; Apr2023, Vol. 44 Issue 4, p302-308, 7p

Zobrazit plný text záznamu

Akademický článek

The prognostic relationship of 18F-FDG PET/CT metabolic and volumetric parameters in metastatic ALK + NSCLC.

Autor: Agüloğlu, Nurşin, Aksu, Ayşegül, Unat, Damla S., Akyol, Murat

Publikováno v: Nuclear Medicine Communications; Dec2022, Vol. 43 Issue 12, p1217-1224, 8p

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání