Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Bangyuan Long"'
Autor:
Huanhuan Ren, Haojie Song, Jingjie Wang, Hua Xiong, Bangyuan Long, Meilin Gong, Jiayang Liu, Zhanping He, Li Liu, Xili Jiang, Lifeng Li, Hanjian Li, Shaoguo Cui, Yongmei Li
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-14 (2023)
Key points Noncontrast computed tomography (NCCT) is valuable for predicting hemorrhagic transformation (HT) after intravenous thrombolysis (IVT) treatment. Machine learning is vital for predicting HT. NCCT radiomics integrated with clinical factors
Externí odkaz:
https://doaj.org/article/2f9b62407cce40cbba9fb222f0a3333b
Publikováno v:
IEEE Signal Processing Letters. 27:665-669
In this letter, we explore the dark channel prior from a new perspective. By re-formulating the dark channel, it is found that the dark channel correlates closely with the saturation and brightness. A novel way to estimate the transmission without th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5436729f79813b3d3bbe8c44d1a90663
https://doi.org/10.1109/lsp.2020.2985570
https://doi.org/10.1109/lsp.2020.2985570
Publikováno v:
IEEE Signal Processing Letters. 25:1585-1589
Although the guided image filtering (GIF) has an excellent edge-preserving property, it is prone to suffer from the halo artifacts near the edges. Weighted GIF and gradient-domain GIF try to address the problem by incorporating an edge-aware weightin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2326f94a694886bbcc95ba200c093d5
https://doi.org/10.1109/lsp.2018.2867896
https://doi.org/10.1109/lsp.2018.2867896