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Analysis and review of current deep learning techniques for..:

, In: 8th International Conference on Computing in Engineering and Technology (ICCET 2023),

Arora, S. ; Srivastava, S. ; Gupta, R.. - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.1535

RT 
T1 <cTitle>8th International Conference on Computing in Engineering and Technology (ICCET 2023)</cTitle>: T1 <Title>Analysis and review of current deep learning techniques for dental image segmentation with a novel deep neural network</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10235850&Exemplar=1&LAN=DE
				
A1 Arora, S.
A1 Srivastava, S.
A1 Gupta, R.
A1 Srivastava, R.
YR 2023
K1 deep learning (artificial intelligence)
K1 dentistry
K1 image segmentation
K1 learning (artificial intelligence)
K1 medical image processing
K1 1000 image dataset
K1 current deep learning methodologies
K1 current deep learning techniques
K1 deep learning methodology
K1 deep neural network
K1 dental applications
K1 dental image analysis
K1 dental image segmentation accuracy
K1 dental image segmentation task
K1 dental images
K1 panoramic images
K1 state-of-the-art deep segmentation models
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1535
DO https://doi.org/10.1049/icp.2023.1535
SF ELIB - SuUB Bremen

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