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ThyExp: An explainable AI-assisted Decision Making Toolkit ..:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,

Morris, Jamie ; Liu, Zehao ; Liang, Huizhi.. - p. 5371-5375 , 2023

Link: https://dl.acm.org/doi/10.1145/3583780.3615131

RT 
T1 <cTitle>Proceedings of the 32nd ACM International Conference on Information and Knowledge Management</cTitle>: T1 <Title>ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3615131&Exemplar=1&LAN=DE
				
A1 Morris, Jamie
A1 Liu, Zehao
A1 Liang, Huizhi
A1 Nagala, Sidhartha
A1 Hong, Xia
PB ACM
YR 2023
K1 ai assisted disease diagnosis
K1 artificial intelligence
K1 thyroid nodule
K1 Information systems
K1 Information systems applications
K1 Decision support systems
K1 Expert systems
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision representations
K1 Image representations
K1 Machine learning
K1 Machine learning algorithms
K1 Feature selection
K1 Applied computing
K1 Life and medical sciences
K1 Health care information systems
SP 5371
OP 5375
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583780.3615131
DO https://dl.acm.org/doi/10.1145/3583780.3615131
SF ELIB - SuUB Bremen

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