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1 Ergebnisse
1
GCNN-based Combined Denoising and Classification for Improv..:
, In:
2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
,
Dharani Devi, G
;
Sandra Doss, S
;
Sanjitha, S
. - p. 401-412 , 2023
Link:
https://doi.org/10.1109/ICIMIA60377.2023.10425821
RT T1 <cTitle>2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)</cTitle>: T1 <Title>GCNN-based Combined Denoising and Classification for Improved MRI Brain Tumor Identification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10425821&Exemplar=1&LAN=DE A1 Dharani Devi, G A1 Sandra Doss, S A1 Sanjitha, S A1 Sai Chaithanya, N YR 2023 K1 Image quality K1 Magnetic resonance imaging K1 Noise reduction K1 Planning K1 Convolutional neural networks K1 Medical diagnostic imaging K1 Tumors K1 Magnetic Resonance Imaging (MRI) K1 Brain tumor K1 Image denoising K1 Image classification K1 Generative Adversarial Networks (GAN) K1 Denoising Convolutional Neural Network(DnCNN) K1 Convolutional Neural Network (CNN) K1 Joint Image Denoising and Classification SP 401 OP 412 LK http://dx.doi.org/https://doi.org/10.1109/ICIMIA60377.2023.10425821 DO https://doi.org/10.1109/ICIMIA60377.2023.10425821 SF ELIB - SuUB Bremen
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