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A Deep Multi-Label Segmentation Network For Eosinophilic Es..:

, In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),

Daniel, Nati ; Larey, Ariel ; Aknin, Eliel... - p. 3211-3217 , 2022

Link: https://doi.org/10.1109/EMBC48229.2022.9871086

RT 
T1 <cTitle>2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</cTitle>: T1 <Title>A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy Diagnostics</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9871086&Exemplar=1&LAN=DE
				
A1 Daniel, Nati
A1 Larey, Ariel
A1 Aknin, Eliel
A1 Osswald, Garrett A.
A1 Caldwell, Julie M.
A1 Rochman, Mark
A1 Collins, Margaret H.
A1 Yang, Guang-Yu
A1 Arva, Nicoleta C.
A1 Capocelli, Kelley E.
A1 Rothenberg, Marc E.
A1 Savir, Yonatan
YR 2022
SN 2694-0604
K1 Image segmentation
K1 Pathology
K1 Sensitivity
K1 Pipelines
K1 Machine learning
K1 Feature extraction
K1 Medical diagnosis
K1 Decision support system
K1 deep learning
K1 digital pathology
K1 eosinophilic esophagitis
K1 whole slide image segmentation and classification
SP 3211
OP 3217
LK http://dx.doi.org/https://doi.org/10.1109/EMBC48229.2022.9871086
DO https://doi.org/10.1109/EMBC48229.2022.9871086
SF ELIB - SuUB Bremen

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