Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Xujing Yao"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2964-2973 (2023)
Major Depressive Disorder (MDD) - can be evaluated by advanced neurocomputing and traditional machine learning techniques. This study aims to develop an automatic system based on a Brain-Computer Interface (BCI) to classify and score depressive patie
Externí odkaz:
https://doaj.org/article/5232faa59b7f4c1f954f1f94a3e41dd0
Publikováno v:
Applied Sciences, Vol 13, Iss 6, p 4019 (2023)
In this paper, we propose a Fuzzy Window with the Gaussian Processed Label (FW-GPL) method to mitigate the overlap problem in the neighboring ordinal category when scoring images. Many published conventional methods treat this challenge as a traditio
Externí odkaz:
https://doaj.org/article/3970790931df46988fad599b3bf3de90
Publikováno v:
IEEE Access, Vol 8, Pp 176916-176923 (2020)
Glomerulosclerosis is a pathomorphological feature of glomerular lesions. Early detection, accurate judgement and effective prevention of the glomeruli is crucial not only for people with kidney disease, but also for the general population. We propos
Externí odkaz:
https://doaj.org/article/79cc93d0c23244ad8b0bf556b7d64779
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. 7:5-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b91a013135ed71d3b506e80fa2d57ea
https://doi.org/10.1109/tetci.2022.3174868
https://doi.org/10.1109/tetci.2022.3174868
Autor:
Juan Manuel Górriz, Yudong Zhang, Ivan Tyukin, Xiang Yu, Shuihua Wang, M. Emre Celebi, Xujing Yao, Martínez-García Miguel, Yingli Tian, Qinghua Zhou, Siyuan Lu
Publikováno v:
Information Fusion. 76:376-421
Due to the proliferation of biomedical imaging modalities, such as Photoacoustic Tomography, Computed Tomography (CT), Optical Microscopy and Tomography, etc., massive amounts of data are generated on a daily basis. While massive biomedical data sets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dddc94ddeb360537cde047c3879f9ae8
https://doi.org/10.1016/j.inffus.2021.07.001
https://doi.org/10.1016/j.inffus.2021.07.001
Publikováno v:
Multimedia Tools and Applications. 81:41361-41405
CNN is inspired from Primary Visual (V1) neurons. It is a typical deep learning technique and can help teach machine how to see and identify objects. In the most recent decade, deep learning develops rapidly and has been well used in various fields o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4cf91397ee2d43b9fcb83a1d8bf4d78
https://doi.org/10.1007/s11042-020-09634-7
https://doi.org/10.1007/s11042-020-09634-7
Publikováno v:
IEEE Access, Vol 8, Pp 176916-176923 (2020)
Glomerulosclerosis is a pathomorphological feature of glomerular lesions. Early detection, accurate judgement and effective prevention of the glomeruli is crucial not only for people with kidney disease, but also for the general population. We propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8768d3b85c5ecc774ee690c7e0c7d696
https://ieeexplore.ieee.org/document/9205283/
https://ieeexplore.ieee.org/document/9205283/
Publikováno v:
Biology, Vol 10, Iss 1084, p 1084 (2021)
Biology
Biology
Simple Summary One of the hottest areas in deep learning is computerized tumor diagnosis and treatment. The identification of tumor markers, the outline of tumor growth activity, and the staging of various tumor kinds are frequently included. There a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26bfcbc02b571b73fcd778ca7be36451
https://www.mdpi.com/2079-7737/10/11/1084
https://www.mdpi.com/2079-7737/10/11/1084
Autor:
Hei-Ran Cheong, Xujing Yao
Publikováno v:
UCC
The accompanying symptoms of hearing loss is slow and sensory, which makes detecting hearing loss of huge significance to the medical diagnosis and scientific research field. To improve the efficiency of hearing loss classification, we conducted a re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1afd4cb3590f3fc31cce1c7c4686988
https://doi.org/10.1109/ucc48980.2020.00050
https://doi.org/10.1109/ucc48980.2020.00050