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pro vyhledávání: '"Instance segmentations"'
Publikováno v:
F1000Research, Vol 10 (2022)
Deep learning has revolutionized the automatic processing of images. While deep convolutional neural networks have demonstrated astonishing segmentation results for many biological objects acquired with microscopy, this technology's good performance
Externí odkaz:
https://doaj.org/article/861f3750609a4b48ab49b3032fcfa20e
Publikováno v:
F1000Research
F1000Research, 2022, 10, pp.256. ⟨10.12688/f1000research.52026.2⟩
F1000Research, Faculty of 1000, 2021, 10, pp.256. ⟨10.12688/f1000research.52026.2⟩
F1000Research, 2022, 10, pp.256. ⟨10.12688/f1000research.52026.2⟩
F1000Research, Faculty of 1000, 2021, 10, pp.256. ⟨10.12688/f1000research.52026.2⟩
International audience; Deep learning has revolutionized the automatic processing of images. While deep convolutional neural networks have demonstrated astonishing segmentation results for many biological objects acquired with microscopy, this techno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::728b3130285153d307872d080c2fd6c6
https://hal.science/hal-03594564v2/document
https://hal.science/hal-03594564v2/document
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064296
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0714969fef3dd5285df8e3adbdaa9f7b
https://doi.org/10.1007/978-3-031-06430-2_23
https://doi.org/10.1007/978-3-031-06430-2_23
Akademický článek
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Autor:
Pécot T; Department of Biochemistry and Molecular Biology, Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, 29407, USA.; Rennes 1 University, SFR Biosit (UMS 3480 - US 018), F-35000 Rennes, France., Alekseyenko A; Departments of Public Health Sciences and Oral Health Sciences, Biomedical Informatics Center, Medical University of South Carolina, Charleston, SC, 29407, USA., Wallace K; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, 29407, USA.
Publikováno v:
F1000Research [F1000Res] 2021 Mar 30; Vol. 10, pp. 256. Date of Electronic Publication: 2021 Mar 30 (Print Publication: 2021).