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1 Ergebnisse
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Fine-tuned feature selection to improve prostate segmentati..:
, In:
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
,
Zaridis, Dimitris
;
Mylona, Eugenia
;
Tachos, Nikolaos
... - p. 01-04 , 2022
Link:
https://doi.org/10.1109/BHI56158.2022.9926929
RT T1 <cTitle>2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)</cTitle>: T1 <Title>Fine-tuned feature selection to improve prostate segmentation via a fully connected meta-learner architecture</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9926929&Exemplar=1&LAN=DE A1 Zaridis, Dimitris A1 Mylona, Eugenia A1 Tachos, Nikolaos A1 Marias, Kostas A1 Tsiknakis, Manolis A1 Fotiadis, Dimitios I. YR 2022 SN 2641-3604 K1 Deep learning K1 Sensitivity K1 Magnetic resonance imaging K1 Glands K1 Feature extraction K1 Complexity theory K1 Prostate cancer K1 Prostate Segmentation K1 Deep Learning K1 Ensembling K1 Fine Tuning SP 01 OP 04 LK http://dx.doi.org/https://doi.org/10.1109/BHI56158.2022.9926929 DO https://doi.org/10.1109/BHI56158.2022.9926929 SF ELIB - SuUB Bremen
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