Zobrazeno 1 - 4
of 4
pro vyhledávání: '"registration misalignment"'
Autor:
Hessam Sokooti, Sahar Yousefi, Mohamed S. Elmahdy, Boudewijn P. F. Lelieveldt, Marius Staring
Publikováno v:
IEEE Access, Vol 9, Pp 62008-62020 (2021)
In this paper we propose a supervised method to predict registration misalignment using convolutional neural networks (CNNs). This task is casted to a classification problem with multiple classes of misalignment: “correct” 0-3 mm, “poor” 3-6
Externí odkaz:
https://doaj.org/article/e8560d54a2914d2d8c52e9bea092e98b
Autor:
Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Marius Staring, Boudewijn P. F. Lelieveldt
Publikováno v:
IEEE Access, 9
IEEE Access, Vol 9, Pp 62008-62020 (2021)
IEEE Access, 9, 62008-62020. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
IEEE Access, Vol 9, Pp 62008-62020 (2021)
IEEE Access, 9, 62008-62020. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
In this paper we propose a supervised method to predict registration misalignment using convolutional neural networks (CNNs). This task is casted to a classification problem with multiple classes of misalignment: “correct” 0-3 mm, “poor” 3-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1fe0ae16b9c256c7aafe2afb59a229d
http://resolver.tudelft.nl/uuid:50ce781d-296c-4ea3-baf0-5bb7add3cc28
http://resolver.tudelft.nl/uuid:50ce781d-296c-4ea3-baf0-5bb7add3cc28
In this paper we propose a supervised method to predict registration misalignment using convolutional neural networks (CNNs). This task is casted to a classification problem with multiple classes of misalignment: "correct" 0-3 mm, "poor" 3-6 mm and "
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______202::ca6c64af6d38e7e9e376444ead044d06
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