Zobrazeno 1 - 10 of 51 pro vyhledávání: '"Kehua Su"'
1
Akademický článek
A Geometric Understanding of Deep Learning
Autor: Na Lei, Dongsheng An, Yang Guo, Kehua Su, Shixia Liu, Zhongxuan Luo, Shing-Tung Yau, Xianfeng Gu
Publikováno v: Engineering, Vol 6, Iss 3, Pp 361-374 (2020)
This work introduces an optimal transportation (OT) view of generative adversarial networks (GANs). Natural datasets have intrinsic patterns, which can be summarized as the manifold distribution principle: the distribution of a class of data is close
Externí odkaz: https://doaj.org/article/2c5a0e46c6fe45fd98c271a0b82e061a
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2
Akademický článek
Burn image segmentation based on Mask Regions with Convolutional Neural Network deep learning framework: more accurate and more convenient
Autor: Chong Jiao, Kehua Su, Weiguo Xie, Ziqing Ye
Publikováno v: Burns & Trauma, Vol 7, Iss 1, Pp 1-14 (2019)
Abstract Background Burns are life-threatening with high morbidity and mortality. Reliable diagnosis supported by accurate burn area and depth assessment is critical to the success of the treatment decision and, in some cases, can save the patient’
Externí odkaz: https://doaj.org/article/67c09c48ad214e6cbaba538539d739e4
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7
Deep learning assisted contrast-enhanced CT-based diagnosis of cervical lymph node metastasis of oral cancer: a retrospective study of 1466 cases
Autor: Xiaoshuai Xu, Linlin Xi, Lili Wei, Luping Wu, Yuming Xu, Bailve Liu, Bo Li, Ke Liu, Gaigai Hou, Hao Lin, Zhe Shao, Kehua Su, Zhengjun Shang
Publikováno v: European radiology.
Objectives Lymph node (LN) metastasis is a common cause of recurrence in oral cancer; however, the accuracy of distinguishing positive and negative LNs is not ideal. Here, we aimed to develop a deep learning model that can identify, locate, and disti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53fce5e78038a3bd2474d4fd9157e1f8
https://pubmed.ncbi.nlm.nih.gov/36576543
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10
Burn Images Segmentation Based on Burn-GAN
Autor: Ning Xin, Dengyi Zhang, Fei Dai, Kehua Su
Publikováno v: Journal of Burn Care & Research. 42:755-762
Burn injuries are severe problems for human. Accurate segmentation for burn wounds in patient surface can improve the calculation precision of %TBSA (total burn surface area), which is helpful in determining treatment plan. Recently, deep learning me
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eaad928f206e80bb550c8daef3cf7c2
https://doi.org/10.1093/jbcr/iraa208
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