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1 Ergebnisse
1
WoundNet: A Domain-Adaptable Few-Shot Classification Framew..:
, In:
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
,
Potlapally, Anirudh
;
Mahajan, Shubham
;
Briden, Michael
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ISBI53787.2023.10230601
RT T1 <cTitle>2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)</cTitle>: T1 <Title>WoundNet: A Domain-Adaptable Few-Shot Classification Framework for Wound Healing Assessment</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10230601&Exemplar=1&LAN=DE A1 Potlapally, Anirudh A1 Mahajan, Shubham A1 Briden, Michael A1 Shawa, Harrison A1 Lopez, Andrea Medina A1 Yoon, Daniel A1 Mazaheri, Amir A1 Yang, Hsinya A1 Dahle, Sara A1 Isseroff, Roslyn A1 Norouzi, Narges YR 2023 SN 1945-8452 K1 Representation learning K1 Training K1 Metalearning K1 Image analysis K1 Transfer learning K1 Prototypes K1 Medical services K1 Wound Image Analysis K1 Few-shot Classification K1 Representation Learning K1 Contrastive Learning SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISBI53787.2023.10230601 DO https://doi.org/10.1109/ISBI53787.2023.10230601 SF ELIB - SuUB Bremen
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