A new deep neuro-fuzzy system for Lyme disease detection and classification using UNet, Inception, and XGBoost model from medical images.

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Title: A new deep neuro-fuzzy system for Lyme disease detection and classification using UNet, Inception, and XGBoost model from medical images.
Authors: Priyan, S. Vishnu1, vishnupriyan@kingsedu.ac.in, Dhanasekaran, S.2, Karthick, P. Vivek3, Silambarasan, D.4
Source: Neural Computing & Applications; Jun2024, Vol. 36 Issue 16, p9361-9374, 14p
Database: Applied Science & Technology Source
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  Data: A new deep neuro-fuzzy system for Lyme disease detection and classification using UNet, Inception, and XGBoost model from medical images.
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Jun2024, Vol. 36 Issue 16, p9361-9374, 14p
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        Value: 10.1007/s00521-024-09583-4
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        Text: English
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      – TitleFull: A new deep neuro-fuzzy system for Lyme disease detection and classification using UNet, Inception, and XGBoost model from medical images.
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              Text: Jun2024
              Type: published
              Y: 2024
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