A Machine learning model trained on dual-energy CT radiomics significantly improves immunotherapy response prediction for patients with stage IV melanoma

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A Machine learning model trained on dual-energy CT radiomics significantly improves immunotherapy response prediction for patients with stage IV melanoma

Author: Brendlin, Andreas Stefan; Peisen, Felix; Almansour, Haidara; Afat, Saif; Eigentler, Thomas; Amaral, Teresa; Faby, Sebastian; Calvarons, Adria Font; Nikolaou, Konstantin; Othman, Ahmed E.
Tübinger Autor(en):
Brendlin, Andreas Stefan
Peisen, Felix
Afat, Saif
Amaral, Teresa
Nikolaou, Konstantin
Al Mansour, Haidara
Eigentler, Thomas Kurt
Othman, Ahmed
Published in: Journal For Immunotherapy of Cancer (2021), Bd. 9 (11), Article e003261
Verlagsangabe: London
Language: English
Full text: http://dx.doi.org/10.1136/jitc-2021-003261
ISSN: 2051-1426
DDC Classifikation: 570 - Life sciences; biology
610 - Medicine and health
Dokumentart: Artikel
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