Zobrazeno 1 - 10
of 355
pro vyhledávání: '"Yang, Changchun"'
Autor:
Chu, Yuetan, Zhang, Yilan, Han, Zhongyi, Yang, Changchun, Zhou, Longxi, Luo, Gongning, Gao, Xin
Foundation models have recently attracted significant attention for their impressive generalizability across diverse downstream tasks. However, these models are demonstrated to exhibit great limitations in representing high-frequency components and f
Externí odkaz:
http://arxiv.org/abs/2407.14651
Autor:
Chu, Yuetan, Luo, Gongning, Zhou, Longxi, Cao, Shaodong, Ma, Guolin, Meng, Xianglin, Zhou, Juexiao, Yang, Changchun, Xie, Dexuan, Henao, Ricardo, Xiao, Xigang, Wu, Lianming, Qiu, Zhaowen, Gao, Xin
Pulmonary artery-vein segmentation is crucial for diagnosing pulmonary diseases and surgical planning, and is traditionally achieved by Computed Tomography Pulmonary Angiography (CTPA). However, concerns regarding adverse health effects from contrast
Externí odkaz:
http://arxiv.org/abs/2404.07671
The self-configuring nnU-Net has achieved leading performance in a large range of medical image segmentation challenges. It is widely considered as the model of choice and a strong baseline for medical image segmentation. However, despite its extraor
Externí odkaz:
http://arxiv.org/abs/2212.06278
Publikováno v:
In Transportation Research Part D August 2024 133
Publikováno v:
In Journal of Alloys and Compounds 5 November 2024 1004
Photoacoustic tomography (PAT) is a newly developed medical imaging modality, which combines the advantages of pure optical imaging and ultrasound imaging, owning both high optical contrast and deep penetration depth. Very recently, PAT is studied in
Externí odkaz:
http://arxiv.org/abs/2109.09127
Photoacoustic (PA) computed tomography (PACT) shows great potentials in various preclinical and clinical applications. A great number of measurements are the premise that obtains a high-quality image, which implies a low imaging rate or a high system
Externí odkaz:
http://arxiv.org/abs/2105.14255
Autor:
Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman, Jarif Huda Angon, Anupam Kumar Bairagi, Yang Changchun
Publikováno v:
Human-Centric Intelligent Systems, Vol 3, Iss 3, Pp 275-295 (2023)
Abstract The discipline of forecasting and prediction is witnessing a surge in the application of these techniques as a direct result of the strong empirical performance that approaches based on machine learning (ML) have shown over the past few year
Externí odkaz:
https://doaj.org/article/24420d964bff4bd196f0e1f622dd8ac2
Publikováno v:
In Expert Systems With Applications 15 April 2024 240
Publikováno v:
In Computers and Electronics in Agriculture February 2024 217