Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Wun She Yap"'
Publikováno v:
IEEE Access, Vol 12, Pp 77486-77500 (2024)
Domain adaptation can mitigate the problem of limited labels in deep learning training. Nevertheless, extending the 2D domain adaptation method directly to 3D encounters challenges unique to point clouds, frequently resulting in inadequate feature al
Externí odkaz:
https://doaj.org/article/53e2d6934df94bf0b47ba6babfc5863f
Autor:
Ming Ping Yong, Yan Chai Hum, Khin Wee Lai, Ying Loong Lee, Choon-Hian Goh, Wun-She Yap, Yee Kai Tee
Publikováno v:
IEEE Access, Vol 12, Pp 1434-1457 (2024)
Cancer is a leading global cause of death. Histopathology image analysis is widely recognized as the gold standard for cancer diagnosis, playing a crucial role in early detection and reducing mortality rates. However, this diagnostic task is performe
Externí odkaz:
https://doaj.org/article/ebbbf916bd2d417ab2a40cebb1b27c5e
Autor:
Wingates Voon, Yan Chai Hum, Yee Kai Tee, Wun-She Yap, Humaira Nisar, Hamam Mokayed, Neha Gupta, Khin Wee Lai
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-20 (2023)
Abstract Debates persist regarding the impact of Stain Normalization (SN) on recent breast cancer histopathological studies. While some studies propose no influence on classification outcomes, others argue for improvement. This study aims to assess t
Externí odkaz:
https://doaj.org/article/7e5c1a4e1155482d8263c705f7005c91
Publikováno v:
Digital Communications and Networks, Vol 9, Iss 1, Pp 159-165 (2023)
Traditional image encryption algorithms transform a plain image into a noise-like image. To lower the chances for the encrypted image being detected by the attacker during the image transmission, a visually meaningful image encryption scheme is sugge
Externí odkaz:
https://doaj.org/article/19794366856e4ff7bf0c32f8db23895c
Autor:
Wingates Voon, Yan Chai Hum, Yee Kai Tee, Wun-She Yap, Maheza Irna Mohamad Salim, Tian Swee Tan, Hamam Mokayed, Khin Wee Lai
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract Computer-aided Invasive Ductal Carcinoma (IDC) grading classification systems based on deep learning have shown that deep learning may achieve reliable accuracy in IDC grade classification using histopathology images. However, there is a dea
Externí odkaz:
https://doaj.org/article/dfda3094b7734cd9bde9b9133f1b5770
Autor:
Ming Ping Yong, Yan Chai Hum, Khin Wee Lai, Ying Loong Lee, Choon-Hian Goh, Wun-She Yap, Yee Kai Tee
Publikováno v:
Diagnostics, Vol 13, Iss 10, p 1793 (2023)
Gastric cancer is a leading cause of cancer-related deaths worldwide, underscoring the need for early detection to improve patient survival rates. The current clinical gold standard for detection is histopathological image analysis, but this process
Externí odkaz:
https://doaj.org/article/20613af0046e404b8c4c50ae2ba7cca8
Publikováno v:
IEEE Transactions on Information Forensics and Security. 18:3101-3115
Publikováno v:
IEEE Transactions on Computers. :1-13
Publikováno v:
Nonlinear Dynamics.
Publikováno v:
Symmetry, Vol 13, Iss 5, p 910 (2021)
Biometric template protection (BTP) schemes are implemented to increase public confidence in biometric systems regarding data privacy and security in recent years. The introduction of BTP has naturally incurred loss of information for security, which
Externí odkaz:
https://doaj.org/article/35e6af5737e7468a946bfeff9b681a38