Výsledky vyhľadávania - "pyramid autoencoder"
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Autori: a ďalší
Zdroj: Measurement. 174:109020
Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences
Prístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S0263224121000543
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Autori:
Zdroj: IET Image Processing, Vol 17, Iss 9, Pp 2726-2735 (2023)
Predmety: image dehazing, QA76.75-76.765, Photography, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, feature fusion, pyramid autoencoder, Computer software, 02 engineering and technology, attention mechanism, TR1-1050
Prístupová URL adresa: https://doaj.org/article/aa36b33883d64a60a8e123c424c054be
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Autori: a ďalší
Zdroj: Ma, B, Guo, J, De Biase, A, Sourlos, N, Tang, W, van Ooijen, P, Both, S & Sijtsema, N M 2022, Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer. in V Andrearczyk, V Oreiller, M Hatt & A Depeursinge (eds), Head and Neck Tumor Segmentation and Outcome Prediction - 2nd Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13209 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 308-317, 2nd 3D Head and Neck Tumor Segmentation in PET/CT Challenge, HECKTOR 2021, held in conjunction with 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, Virtual, Online, 27/09/2021.
Témy: Autoencoder, DeepSurv, OPSCC, PET-scans and CT-scans, Progression free survival prediction, contributionToPeriodical
URL:
https://research.rug.nl/en/publications/08a09e87-50c6-4f06-8ce7-7b485f4e8de6 https://doi.org/10.1007/978-3-030-98253-9_29 https://hdl.handle.net/11370/08a09e87-50c6-4f06-8ce7-7b485f4e8de6 https://pure.rug.nl/ws/files/223879209/Ma2022_Chapter_Self_supervisedMulti_modalityI.pdf https://www.scopus.com/pages/publications/85126711030
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-98253-9_29
info:eu-repo/semantics/altIdentifier/hdl/https://hdl.handle.net/11370/08a09e87-50c6-4f06-8ce7-7b485f4e8de6
info:eu-repo/semantics/altIdentifier/isbn/978-3-030-98252-2 -
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Autori:
Zdroj: Multimedia Tools & Applications; Jun2024, Vol. 83 Issue 19, p57551-57578, 28p
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Autori: a ďalší
Zdroj: Sensors (14248220); Dec2023, Vol. 23 Issue 24, p9761, 12p
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Autori:
Zdroj: IET Image Processing (Wiley-Blackwell); 7/20/2023, Vol. 17 Issue 9, p2726-2735, 10p
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Autori: a ďalší
Zdroj: Systems; Feb2023, Vol. 11 Issue 2, p56, 13p
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Autori: a ďalší
Prispievatelia: a ďalší
Zdroj: Ma, B, Guo, J, De Biase, A, Sourlos, N, Tang, W, van Ooijen, P, Both, S & Sijtsema, N M 2022, Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer. in V Andrearczyk, V Oreiller, M Hatt & A Depeursinge (eds), Head and Neck Tumor Segmentation and Outcome Prediction - 2nd Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13209 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 308-317, 2nd 3D ....
Predmety: Autoencoder, DeepSurv, OPSCC, PET-scans and CT-scans, Progression free survival prediction
Popis súboru: application/pdf
Relation: info:eu-repo/semantics/altIdentifier/hdl/https://hdl.handle.net/11370/08a09e87-50c6-4f06-8ce7-7b485f4e8de6; info:eu-repo/semantics/altIdentifier/isbn/978-3-030-98252-2
Dostupnosť: https://hdl.handle.net/11370/08a09e87-50c6-4f06-8ce7-7b485f4e8de6
https://research.rug.nl/en/publications/08a09e87-50c6-4f06-8ce7-7b485f4e8de6
https://doi.org/10.1007/978-3-030-98253-9_29
https://pure.rug.nl/ws/files/223879209/Ma2022_Chapter_Self_supervisedMulti_modalityI.pdf
https://www.scopus.com/pages/publications/85126711030 -
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Autori: a ďalší
Zdroj: Applied Sciences (2076-3417); Jun2021, Vol. 11 Issue 12, p5482, 15p
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Autori: a ďalší
Zdroj: Journal of Applied Remote Sensing; Jul-Sep2024, Vol. 18 Issue 3, p36508-36508, 1p
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Autori: a ďalší
Typ zdroja: eBook.
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Autori: a ďalší
Typ zdroja: eBook.
Predmet: Computer networks, User interfaces (Computer systems), Image processing, Image processing--Digital techniques, Computer vision, Computers, Special purpose, Human-computer interaction, Machine learning
Kategórie: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Computer Architecture, COMPUTERS / Image Processing, COMPUTERS / Networking / General, COMPUTERS / User Interfaces, COMPUTERS / Human-Computer Interaction (HCI), MATHEMATICS / Probability & Statistics / General
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Autori: a ďalší
Typ zdroja: eBook.
Predmet: Computer vision, Image processing—Digital techniques, Machine learning, Computer networks, Social sciences—Data processing, Application software
Kategórie: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Image Processing, COMPUTERS / Networking / General, MATHEMATICS / Probability & Statistics / General
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Autori: a ďalší
Typ zdroja: eBook.
Predmet: Artificial intelligence--Industrial applications, Machinery--Maintenance and repair--Data processing
Kategórie: COMPUTERS / Artificial Intelligence / General, SCIENCE / Physics / General, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Manufacturing
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Autori: a ďalší
Typ zdroja: eBook.
Predmet: Image processing—Digital techniques, Computer vision, Education—Data processing, Application software, Machine learning
Kategórie: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Image Processing, EDUCATION / Computers & Technology, MATHEMATICS / Probability & Statistics / General
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