Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network

Deep learning-based Computer-Aided Diagnosis has gained immense attention in recent years due to its capability to enhance diagnostic performance and elucidate complex clinical tasks. However, conventional supervised deep learning models are incapable of recognizing novel diseases that do not exist...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2022
Materias:
Biomedical Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967064/
https://www.ncbi.nlm.nih.gov/pubmed/35360503
http://dx.doi.org/10.1109/ACCESS.2022.3153059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967064/
https://www.ncbi.nlm.nih.gov/pubmed/35360503
http://dx.doi.org/10.1109/ACCESS.2022.3153059

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