Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Shufen Liang"'
Publikováno v:
BMC Immunology, Vol 25, Iss 1, Pp 1-15 (2024)
Abstract Purpose Primary Sjogren's syndrome (pSS) is a prevalent autoimmune disease. The immune dysregulation it causes often leads to the development of diffuse large B-cell lymphoma (DLBCL) in clinical practice. However, how it contributes to these
Externí odkaz:
https://doaj.org/article/1a88c54bdb534b9eb38ca4140e43a94a
Autor:
Chuanbo Qin, Wanying Li, Bin Zheng, Junying Zeng, Shufen Liang, Xiuping Zhang, Wenguang Zhang
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
The brain tumor segmentation task with different domains remains a major challenge because tumors of different grades and severities may show different distributions, limiting the ability of a single segmentation model to label such tumors. Semi-supe
Externí odkaz:
https://doaj.org/article/1bd7606211e34600af4bbaba653f1e4b
Autor:
Huilin Liu, Yue Feng, Hong Xu, Shufen Liang, Huizhu Liang, Shengke Li, Jiajian Zhu, Shuai Yang, Fufeng Li
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Medical image segmentation is a fundamental step in medical analysis and diagnosis. In recent years, deep learning networks have been used for precise segmentation. Numerous improved encoder–decoder structures have been proposed for variou
Externí odkaz:
https://doaj.org/article/f80c838f868b4a1dabb565315ea8c3d2
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-15 (2022)
Abstract Background For the encoding part of U-Net3+,the ability of brain tumor feature extraction is insufficient, as a result, the features can not be fused well during up-sampling, and the accuracy of segmentation will reduce. Methods In this stud
Externí odkaz:
https://doaj.org/article/347f1aec2718458f8672bce40d380afe
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
In commercial buildings, the total consumption of central air conditioning accounts for about 40%–50%. However, at present, the initial design value of building Heating Ventilation and Air Conditioning (HVAC) is usually far greater than the actual
Externí odkaz:
https://doaj.org/article/62f7e53895604c269bc72178c618c00c
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0248303 (2021)
Accurate and robust segmentation of anatomical structures from magnetic resonance images is valuable in many computer-aided clinical tasks. Traditional codec networks are not satisfactory because of their low accuracy of edge segmentation, the low re
Externí odkaz:
https://doaj.org/article/9f6986734f0c44578153854459a1b328
Autor:
Julian Cheong Kiat Tay, Xinzhe James Cai, Jing Lin, Shufen Liang, Ai Ling Him, Sherida Binte Syed Hamid, Kelvin Cheok Keng Wong, Colin Yeo, Vern Hsen Tan
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 31, Iss , Pp 100661- (2020)
Background: Catheter ablation is increasingly being performed worldwide for atrial fibrillation (AF). However, there are concerns of lower success rates and higher complications of AF ablations performed in low-volume centers. Thus, we sought to eval
Externí odkaz:
https://doaj.org/article/cc7a7e21e72a4d1995e63c2830bd6764
Publikováno v:
International Journal of Bifurcation and Chaos. 33
Recently, a chaotic secure video communication system based on FPGA is proposed, which essentially encrypts the original image data of each frame in the video in multiple rounds by using the 6D self-synchronizing chaotic stream cipher. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e11da1ba6ffe8e736d64dba4dd5da437
https://doi.org/10.1142/s0218127423500281
https://doi.org/10.1142/s0218127423500281
Publikováno v:
Journal of Medical Imaging and Health Informatics. 11:2117-2123
An L1/L2-norm-bound extreme learning machine classification algorithm is proposed to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. In this algorithm, features extracted from the segmented lung nodule using the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0edc68f6ada135ce5087006e3ccdeea6
https://doi.org/10.1166/jmihi.2021.3448
https://doi.org/10.1166/jmihi.2021.3448
Publikováno v:
2022 IEEE International Conference on Industrial Technology (ICIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b2ae99dca563b4d9a9f469a3da38735
https://doi.org/10.1109/icit48603.2022.10002719
https://doi.org/10.1109/icit48603.2022.10002719