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1
IANet: Important-Aware Network for Microscopic Hyperspectra..:
, In:
2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
,
Zeng, Weijia
;
Li, Wei
;
Tao, Ran
- p. 1-6 , 2022
Link:
https://doi.org/10.1109/CISP-BMEI56279.2022.9979919
RT T1 <cTitle>2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)</cTitle>: T1 <Title>IANet: Important-Aware Network for Microscopic Hyperspectral Pathology Image Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9979919&Exemplar=1&LAN=DE A1 Zeng, Weijia A1 Li, Wei A1 Tao, Ran YR 2022 K1 Image segmentation K1 Pathology K1 Image edge detection K1 Microscopy K1 Semantics K1 Signal processing K1 Feature extraction K1 hierarchical fusion pyramid K1 important-aware fusion K1 microscopic hyperspectral pathology image K1 segmentation K1 target-aware edge enhancement SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/CISP-BMEI56279.2022.9979919 DO https://doi.org/10.1109/CISP-BMEI56279.2022.9979919 SF ELIB - SuUB Bremen
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