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1 Ergebnisse
1
Towards MRI Progression Features for Glioblastoma Patients:..:
, In:
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology; Lecture Notes in Computer Science
,
Suter, Yannick
;
Knecht, Urspeter
;
Wiest, Roland
... - p. 129-138 , 2020
Link:
https://doi.org/10.1007/978-3-030-66843-3_13
RT T1 <cTitle>Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology; Lecture Notes in Computer Science</cTitle>: T1 <Title>Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-030-66843-3_13&Exemplar=1&LAN=DE A1 Suter, Yannick A1 Knecht, Urspeter A1 Wiest, Roland A1 Hewer, Ekkehard A1 Schucht, Philippe A1 Reyes, Mauricio PB Springer International Publishing YR 2020 SP 129 OP 138 LK http://dx.doi.org/https://doi.org/10.1007/978-3-030-66843-3_13 DO https://doi.org/10.1007/978-3-030-66843-3_13 SF ELIB - SuUB Bremen
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