Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Qin Zhi Guang"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 6, Pp 102086- (2024)
Deep learning technologies have led to substantial breakthroughs in the field of biomedical image analysis. Accurate brain tumor segmentation is an essential aspect of treatment planning. Radiologists agree that manual segmentation is a difficult and
Externí odkaz:
https://doaj.org/article/b0d06c81a14b4e4189befed2111fbaa0
Publikováno v:
In Journal of Electronic Science and Technology June 2020 18(2)
Publikováno v:
In Simulation Modelling Practice and Theory February 2015 51:87-99
Holistic Attention on Pooling Based Cascaded Partial Decoder for Real- Time Salient Object Detection
Autor:
Md. Altab Hossin, Ijeoma Amuche Chikwendu, Qin Zhi-guang, Chukwuebuka Joseph Ejiyi, Chiagoziem C. Ukwuoma, Bernard M. Cobbinah, Ariyo Oluwasanmi, Hassan S. Abubakar
Publikováno v:
2021 4th International Conference on Pattern Recognition and Artificial Intelligence (PRAI).
The identification of saliency is one of the fundamental computer vision problems. Convolutional Neural Network (CNN) has recently become the most commonly employed and potent detection strategy in which feature maps from various layers are combined
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14b36db62e434239ee1c5d39aee47f46
https://doi.org/10.1109/prai53619.2021.9551094
https://doi.org/10.1109/prai53619.2021.9551094
Publikováno v:
ICDSP
In communication alarm correlation analysis, original alarm data often have problems about information redundancy, data incompleteness, time synchronization and "sharp boundary". This paper proposed a novel alarm extraction algorithm in order to reso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e250845517e275ac348ed009849672b
https://doi.org/10.1145/3408127.3408154
https://doi.org/10.1145/3408127.3408154
Publikováno v:
Journal of Physics: Conference Series. 1734:012026
Efforts to enhance accuracy in medical diagnostics in molecular medicine have contributed to the wide use of artificial neural network (ANN) algorithms for disease detection due to its ability to process large medical datasets and integrate them into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9d7de61877239fbfd3025dbe7c4dc35
https://doi.org/10.1088/1742-6596/1734/1/012026
https://doi.org/10.1088/1742-6596/1734/1/012026
Publikováno v:
Application Research of Computers / Jisuanji Yingyong Yanjiu. Jan2015, Vol. 32 Issue 1, p210-213. 4p.
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Brain image segmentation into white matter, grey matter and cerebrospinal fluid is a very popular yet challenging area in medical image processing. The Fuzzy C-Means clustering algorithm is quite used because of its ability to ensure multiple member
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a8cd10f565a38a57e3120b229446cf4
https://doi.org/10.12783/dtcse/csae2017/17560
https://doi.org/10.12783/dtcse/csae2017/17560
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
This study presents an automatic segmentation of the brain tissues in Magnetic Resonance Image using a fusion of Spatial Fuzzy C-Means (sFCM) and K-Means Algorithms (sFCMKA). The segmentation of the standard FCM algorithm have been realized to be hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76bd801ccace75ca3d9627b5659128a5
https://doi.org/10.12783/dtcse/csae2017/17565
https://doi.org/10.12783/dtcse/csae2017/17565
Autor:
LI Min1,2 lm_turnip@126.com, QIN Zhi-guang2
Publikováno v:
Application Research of Computers / Jisuanji Yingyong Yanjiu. Sep2014, Vol. 31 Issue 9, p2576-2580. 5p.