Suchergebnisse - "novel stack deep convolutional autoencoder"
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Autoren:
Quelle: IET Image Processing. 13:2778-2789
Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Zugangs-URL: https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-ipr.2018.6582
https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6582
https://dblp.uni-trier.de/db/journals/iet-ipr/iet-ipr13.html#GhoshBG19
https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/iet-ipr.2018.6582 -
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Autoren:
Quelle: IET Image Processing (Wiley-Blackwell); Dec2019, Vol. 13 Issue 14, p2778-2789, 12p
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Autoren: et al.
Quelle: Ionics; May2025, Vol. 31 Issue 5, p4261-4279, 19p
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Autoren:
Quelle: Multimedia Tools & Applications; 2021, Vol. 80 Issue 3, p3443-3468, 26p
Schlagwörter: SUPERVISED learning, OPTIC disc, DEEP learning, RETINAL imaging, IMAGING systems, CONCEPT learning
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Autoren: et al.
Quelle: Proceedings of SPIE; 1/5/2024, Vol. 12767, p127671U-127671U-9, 1p
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Quelle: IET Image Processing (Wiley-Blackwell); Dec2019, Vol. 13 Issue 14, p2659-2661, 3p
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Autoren: et al.
Resource Type: eBook.
Categories: COMPUTERS / Human-Computer Interaction (HCI), COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Networking / General, COMPUTERS / User Interfaces
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