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Application of deep learning auto-segmentation and unsuperv..:
Vithayathil, Mathew
;
Vaidyanathan, Akshayaa
;
Ocal, Osman
...
Journal of Hepatology. 78 (2023) - p. S576 , 2023
Link:
https://doi.org/10.1016/s0168-8278(23)01375-2
RT Journal T1
Application of deep learning auto-segmentation and unsupervised machine learning in developing a radiomic prognostic score to predict disease recurrence post radiofrequency ablation for hepatocellular carcinoma
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_s0168-8278(23)01375-2&Exemplar=1&LAN=DE A1 Vithayathil, Mathew A1 Vaidyanathan, Akshayaa A1 Ocal, Osman A1 Fabritius, Matthias A1 Pech, Maciej A1 Berg, Thomas A1 Loewe, Christian A1 Klümpen, Heinz-Josef A1 Rockall, Andrea A1 Woodruff, Henry A1 Seidensticker, Max A1 Aboagye, Eric A1 Ricke, Jens A1 Sharma, Rohini PB Elsevier BV YR 2023 SN 0168-8278 JF Journal of Hepatology VO 78 SP S576 LK http://dx.doi.org/https://doi.org/10.1016/s0168-8278(23)01375-2 DO https://doi.org/10.1016/s0168-8278(23)01375-2 SF ELIB - SuUB Bremen
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