Hybridization between deep learning algorithms and neutrosophic theory in medical image processing: A survey

Deep learning can successfully extract data features based on dealing greatly with nonlinear problems. Deep learning has the highest performance in medical image analysis and diagnosis. Additionally, deep learning performance is affected by insufficient medical image data such as fuzziness or incomp...

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Detalles Bibliográficos

Principais autores:	N.N. Mostafa, K. Ahmed, I. El-Henawy
Formato:	Artigo
Idioma:	Inglês
Publicado:	University of New Mexico 2021-08-01
Series:	Neutrosophic Sets and Systems
Assuntos:	medical image neutrosophics deep learning denoising classification segmentation clustering image modalities
Acceso en liña:	http://fs.unm.edu/NSS/HybridizationDeepLearning25.pdf
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