Zobrazeno 1 - 10
of 144
pro vyhledávání: '"HAO Heng"'
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2024)
BackgroundThe availability of research on short-term ozone therapy for diabetic foot ulcers (DFUs) is limited, and even when it is accessible, it mainly comprises of basic analysis conducted during long-term ozone therapy. This study was to evaluate
Externí odkaz:
https://doaj.org/article/f923b89913b9451da102687bf0d3e568
Publikováno v:
Journal of International Medical Research, Vol 51 (2023)
We present the case of a woman of 50 years of age who experienced widespread bone pain along with digestive symptoms, including nausea and vomiting. She had been prescribed tenofovir disoproxil fumarate (TDF) tablets for the treatment of hepatitis B.
Externí odkaz:
https://doaj.org/article/d70bb67a7f5c402197c251b0ced32a74
Autor:
Hehe Lv, Fan Zhang, Can Liang, Xuekui Liu, Yamei Ma, Jiayi Li, Yan Ye, Shanwen Si, Yaran Liu, Hao Heng, Houfa Geng
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
The discovery of a large number of small pulmonary nodules and early diagnosis of lung cancer in the diabetic patients prompt us to re-examine the relationship between diabetes and the occurrence and development of lung cancer. The aim of this study
Externí odkaz:
https://doaj.org/article/10e7abcd2eeb4c61948feeecf1f178f9
Fully supervised training of semantic segmentation models is costly and challenging because each pixel within an image needs to be labeled. Therefore, the sparse pixel-level annotation methods have been introduced to train models with a subset of pix
Externí odkaz:
http://arxiv.org/abs/2408.01694
Autor:
Haojie Sun, Peng Lai, Wei Wu, Hao Heng, Shanwen Si, Yan Ye, Jiayi Li, Hehe Lyu, Caiyan Zou, Mengzhe Guo, Yu Wang, Houfa Geng, Jun Liang
Publikováno v:
Frontiers in Chemistry, Vol 9 (2022)
Diabetes mellitus has become a major global health issue. Currently, the use of antibiotics remains the best foundational strategy in the control of diabetic foot infections. However, the lack of accurate identification of pathogens and the empirical
Externí odkaz:
https://doaj.org/article/082f7074582548f792514603fb116c97
Autor:
Lee, JoonHo, Woo, Jae Oh, Seok, Juree, Hassanzadeh, Parisa, Jang, Wooseok, Son, JuYoun, Didari, Sima, Gutow, Baruch, Hao, Heng, Moon, Hankyu, Hu, Wenjun, Kwon, Yeong-Dae, Lee, Taehee, Min, Seungjai
Assessing response quality to instructions in language models is vital but challenging due to the complexity of human language across different contexts. This complexity often results in ambiguous or inconsistent interpretations, making accurate asse
Externí odkaz:
http://arxiv.org/abs/2405.06424
3D deep learning is a growing field of interest due to the vast amount of information stored in 3D formats. Triangular meshes are an efficient representation for irregular, non-uniform 3D objects. However, meshes are often challenging to annotate due
Externí odkaz:
http://arxiv.org/abs/2208.04278
We demonstrate that frequently appearing objects can be discovered by training randomly sampled patches from a small number of images (100 to 200) by self-supervision. Key to this approach is the pattern space, a latent space of patterns that represe
Externí odkaz:
http://arxiv.org/abs/2106.08599
We propose a highly data-efficient active learning framework for image classification. Our novel framework combines: (1) unsupervised representation learning of a Convolutional Neural Network and (2) the Gaussian Process (GP) method, in sequence to a
Externí odkaz:
http://arxiv.org/abs/2103.05109
Publikováno v:
Journal of Beijing University of Traditional Chinese Medicine; 2024, Vol. 47 Issue 8, p1100-1110, 11p