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pro vyhledávání: '"Sanghyuk Roy Choi"'
Publikováno v:
IEEE Access, Vol 12, Pp 84122-84133 (2024)
Convolutional Neural Networks (CNNs) have demonstrated remarkable performance in medical image segmentation tasks, with the U-Net architecture being a prominent example. The UNet Transformer (UNETR), an advanced variant of U-Net, incorporates a trans
Externí odkaz:
https://doaj.org/article/72b1e08b7c2f41a596862cfdc33e1f71
Autor:
Sanghyuk Roy Choi, Minhyeok Lee
Publikováno v:
Biology, Vol 12, Iss 7, p 1033 (2023)
The emergence and rapid development of deep learning, specifically transformer-based architectures and attention mechanisms, have had transformative implications across several domains, including bioinformatics and genome data analysis. The analogous
Externí odkaz:
https://doaj.org/article/ccfb705972de48a7bcbaf665652f2d6d
Autor:
Sanghyuk Roy Choi, Minhyeok Lee
Publikováno v:
Biology, Vol 11, Iss 10, p 1462 (2022)
The prognosis estimation of low-grade glioma (LGG) patients with deep learning models using gene expression data has been extensively studied in recent years. However, the deep learning models used in these studies do not utilize the latest deep lear
Externí odkaz:
https://doaj.org/article/2bf5ced72d4740ff9fda092a935ca1b8