PO-0965: How to find the best radiomics features for prediction of overall survival in SBRT for HCC?

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Serval ID
serval:BIB_5ECEFD2A742B
Type
Inproceedings: an article in a conference proceedings.
Publication sub-type
Poster: Summary – with images – on one page of the results of a researche project. The summaries of the poster must be entered in "Abstract" and not "Poster".
Collection
Publications
Institution
Production externe
Title
PO-0965: How to find the best radiomics features for prediction of overall survival in SBRT for HCC?
Title of the conference
Radiotherapy and Oncology
Author(s)
Fontaine P., Acosta O., Riet F., Castelli J., Gnep K., Simon A., Depeursinge A., De Crevoisier R.
Publisher
Elsevier BV
ISSN
0167-8140
Publication state
Published
Issued date
04/2019
Volume
133
Pages
S525
Language
english
Keywords
Radiology, Nuclear Medicine and imaging, Oncology, Hematology
DOI
10.1016/s0167-8140(19)31385-4
Open Access
Yes
Create date
29/08/2023 8:44
Last modification date
10/10/2023 15:03
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