PS01.17 MACHINE LEARNING-BASED SURVIVAL PREDICTION FOR NEWLY DIAGNOSED GLIOMA PATIENTS USING RADIOMIC FEATURES EXTRACTED FROM MRI AND PET IMAGES

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Published in:Physica medica 2024-09, Vol.125, p.104019, Article 104019
Main Authors: Kaiser, L., Quach, S., Zounek, A.J., Zatcepin, A., Holzgreve, A., Kirchleitner, S., Ruf, V.C., Brendel, M., Thon, N., Herms, J., Riemenschneider, M., Stöcklein, S., Niyazi, M., Rupprecht, R., Tonn, J., Bartenstein, P., Ziegler, S.I., von Baumgarten, L., Albert, N.L.
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container_issue
container_start_page 104019
container_title Physica medica
container_volume 125
creator Kaiser, L.
Quach, S.
Zounek, A.J.
Zatcepin, A.
Holzgreve, A.
Kirchleitner, S.
Ruf, V.C.
Brendel, M.
Thon, N.
Herms, J.
Riemenschneider, M.
Stöcklein, S.
Niyazi, M.
Rupprecht, R.
Tonn, J.
Bartenstein, P.
Ziegler, S.I.
von Baumgarten, L.
Albert, N.L.
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doi_str_mv 10.1016/j.ejmp.2024.104019
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title PS01.17 MACHINE LEARNING-BASED SURVIVAL PREDICTION FOR NEWLY DIAGNOSED GLIOMA PATIENTS USING RADIOMIC FEATURES EXTRACTED FROM MRI AND PET IMAGES
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