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1 Ergebnisse
1
Cluster-Guided Semi-Supervised Domain Adaptation for Imbala..:
, In:
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
,
Harada, Shota
;
Bise, Ryoma
;
Araki, Kengo
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ISBI53787.2023.10230451
RT T1 <cTitle>2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)</cTitle>: T1 <Title>Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10230451&Exemplar=1&LAN=DE A1 Harada, Shota A1 Bise, Ryoma A1 Araki, Kengo A1 Yoshizawa, Akihiko A1 Terada, Kazuhiro A1 Kurata, Mariyo A1 Nakajima, Naoki A1 Abe, Hiroyuki A1 Ushiku, Tetsuo A1 Uchida, Seiichi YR 2023 SN 1945-8452 K1 Representation learning K1 Pathology K1 Pipelines K1 Robustness K1 Task analysis K1 Cervical cancer K1 Image classification K1 Semi-supervised domain adaptation K1 Class imbalance K1 Clustering K1 Medical image classification SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ISBI53787.2023.10230451 DO https://doi.org/10.1109/ISBI53787.2023.10230451 SF ELIB - SuUB Bremen
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