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1 Ergebnisse
1
Integrating with Segmentation by Using Multi-Task Learning ..:
, In:
2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)
,
Li, Yi
;
Zhao, Yuanyuan
;
Wang, Mingyu
... - p. 351-354 , 2022
Link:
https://doi.org/10.1109/CBMS55023.2022.00069
RT T1 <cTitle>2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)</cTitle>: T1 <Title>Integrating with Segmentation by Using Multi-Task Learning Improves Classification Performance in Medical Image Analysis</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9866979&Exemplar=1&LAN=DE A1 Li, Yi A1 Zhao, Yuanyuan A1 Wang, Mingyu A1 Li, Fei A1 Chen, Jia A1 Luo, Yanji A1 Feng, Shi-Ting A1 Lin, Xiaoyi A1 Huang, Bingsheng YR 2022 SN 2372-9198 K1 Visualization K1 Shape K1 Semantics K1 Multitasking K1 Feature extraction K1 Prediction algorithms K1 Lesions K1 Multi-task learning K1 Tumor K1 Diagnosis K1 Classification K1 Segmentation SP 351 OP 354 LK http://dx.doi.org/https://doi.org/10.1109/CBMS55023.2022.00069 DO https://doi.org/10.1109/CBMS55023.2022.00069 SF ELIB - SuUB Bremen
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