Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Tongping Shen"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 4463-4484 (2024)
Objective: This study evaluates the impact of different combinations of treatment regimens, such as additional radiation, chemotherapy, and surgical treatments, on the survival of elderly rectal cancer patients ≥ 70 years of age to support physici
Externí odkaz:
https://doaj.org/article/e122599073ed4666b5733acb23054623
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 10954-10976 (2023)
For the problems of blurred edges, uneven background distribution, and many noise interferences in medical image segmentation, we proposed a medical image segmentation algorithm based on deep neural network technology, which adopts a similar U-Net ba
Externí odkaz:
https://doaj.org/article/5279f20c4ff540f98fe6577e2322d0c5
Publikováno v:
IEEE Access, Vol 11, Pp 47827-47835 (2023)
During the formation of medical images, they are easily disturbed by factors such as acquisition devices and tissue backgrounds, causing problems such as blurred image backgrounds and difficulty in differentiation. In this paper, we combine the HarDN
Externí odkaz:
https://doaj.org/article/61ed719adb774575937b4889bff8fc0d
Autor:
Tongping Shen, Huanqing Xu
Publikováno v:
IEEE Access, Vol 11, Pp 16621-16630 (2023)
Medical image segmentation is a crucial way to assist doctors in the accurate diagnosis of diseases. However, the accuracy of medical image segmentation needs further improvement due to the problems of many noisy medical images and the high similarit
Externí odkaz:
https://doaj.org/article/9a7dd8bb7f854a27840dc1e09574c5ed
Autor:
Tongping Shen, Xueguang Li
Publikováno v:
Frontiers in Oncology, Vol 12 (2023)
The similar shape and texture of colonic polyps and normal mucosal tissues lead to low accuracy of medical image segmentation algorithms. To solve these problems, we proposed a polyp image segmentation algorithm based on deep learning technology, whi
Externí odkaz:
https://doaj.org/article/91403aeee6cb429d8ebe09a550716178
Autor:
Sheng Hu, Hongxing Kan, Junling Kan, Chuanfu Li, Aihong Yuan, ChunSheng Xu, Anqin Wang, Yi Wang, Xuan Bao, Tongping Shen, Hongli Wu
Publikováno v:
Frontiers in Aging Neuroscience, Vol 11 (2019)
Several studies have demonstrated through resting-state functional magnetic resonance imaging (fMRI) that functional connectivity changes are important in the recovery from Bell’s palsy (BP); however, these studies have only focused on the cortico-
Externí odkaz:
https://doaj.org/article/b091cd0ba9ed4c1cb8c111b5f001b629
Autor:
Sheng Hu, Hongli Wu, ChunSheng Xu, Anqin Wang, Yi Wang, Tongping Shen, Fangliang Huang, Hongxing Kan, Chuanfu Li
Publikováno v:
Frontiers in Neural Circuits, Vol 13 (2019)
Both abnormalities of resting-state cerebral blood flow (CBF) and functional connectivity in Wilson’s disease (WD) have been identified by several studies. Whether the coupling of CBF and functional connectivity is imbalanced in WD remains largely
Externí odkaz:
https://doaj.org/article/9d72f16cae564dba9e3339c0fca009cc
Autor:
Wei, Wang1 (AUTHOR), Tongping, Shen2,3 (AUTHOR) shentp2010@ahtcm.edu.cn, Jiaming, Wang2 (AUTHOR)
Publikováno v:
Scientific Reports. 7/16/2024, Vol. 14 Issue 1, p1-12. 12p.
Autor:
Tongping Shen, Huanqing Xu
Publikováno v:
Computer Modeling in Engineering & Sciences. 135:539-560
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b91fc618f2784ff095d93d3773321fc8
https://doi.org/10.32604/cmes.2022.022312
https://doi.org/10.32604/cmes.2022.022312
Publikováno v:
Third International Conference on Computer Science and Communication Technology (ICCSCT 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c8c53435c760fec7e84103fe6eb5692
https://doi.org/10.1117/12.2661792
https://doi.org/10.1117/12.2661792