Zobrazeno 1 - 10
of 15
pro vyhledávání: '"FIVES dataset"'
Autor:
Tanzina Akter Tani, Jelena Tesic
Publikováno v:
IEEE Access, Vol 12, Pp 141280-141290 (2024)
Retinal vessel segmentation is crucial for the diagnosis and monitoring of ophthalmic illnesses. Deep learning algorithms have been extensively utilized in automated segmentation to improve effectiveness and efficiency. In this paper, we introduce th
Externí odkaz:
https://doaj.org/article/328f3d052ea74b6cb9a1a0a7a0e03d49
Akademický článek
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Publikováno v:
Electronics (2079-9292); May2024, Vol. 13 Issue 9, p1736, 24p
Autor:
Jin, Kai, Huang, Xingru, Zhou, Jingxing, Li, Yunxiang, Yan, Yan, Sun, Yibao, Zhang, Qianni, Wang, Yaqi, Ye, Juan
Publikováno v:
Scientific Data; 8/4/2022, Vol. 9 Issue 1, p1-8, 8p
Publikováno v:
Frontiers in Neuroscience; 2023, p1-18, 18p
Autor:
Shakir, Mokhalad Waleed, Mokdad, Ali
Publikováno v:
International Research Journal of Innovations in Engineering & Technology; Jun2023, Vol. 7 Issue 6, p195-201, 7p
Autor:
Kai Jin, Xingru Huang, Jingxing Zhou, Yunxiang Li, Yan Yan, Yibao Sun, Qianni Zhang, Yaqi Wang, Juan Ye
Publikováno v:
Scientific data. 9(1)
Retinal vasculature provides an opportunity for direct observation of vessel morphology, which is linked to multiple clinical conditions. However, objective and quantitative interpretation of the retinal vasculature relies on precise vessel segmentat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0976090977ebf1aeab7272d76ec385fb
https://pubmed.ncbi.nlm.nih.gov/35927290
https://pubmed.ncbi.nlm.nih.gov/35927290
Autor:
Srinivasan, Saravanan, Nagarnaidu Rajaperumal, Rajalakshmi, Mathivanan, Sandeep Kumar, Jayagopal, Prabhu, Krishnamoorthy, Sujatha, Kardy, Seifedine
Publikováno v:
Electronics (2079-9292); Feb2023, Vol. 12 Issue 4, p862, 14p
Autor:
Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel
The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6–10, 2024. MI
This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024. The 20 full pap