Výsledky vyhledávání - "Zhenhuan Huang"

Transformer-Based Deep Learning Network for Tooth Segmentation on Panoramic Radiographs

Autor: Chen Sheng, Lin Wang, Zhenhuan Huang, Tian Wang, Yalin Guo, Wenjie Hou, Laiqing Xu, Jiazhu Wang, Xue Yan

Publikováno v: Journal of systems science and complexity.

Panoramic radiographs can assist dentist to quickly evaluate patients' overall oral health status. The accurate detection and localization of tooth tissue on panoramic radiographs is the first step to identify pathology, and also plays a key role in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a9eb3375fd285f9b8fb0624dd7a820f
https://pubmed.ncbi.nlm.nih.gov/36258771

Zobrazit plný text záznamu

Intramammary edema of invasive breast cancers on MRI T

Autor: Zhenhuan, Huang, Xuezhao, Tu, Qi, Lin, Zejuan, Zhan, Langlang, Tang, Jinkai, Liu, Dandan, Lin, Shan, Luo, Dejie, Zhang, Conghua, Ruan

Publikováno v: Clinical imaging. 83

To investigate the associations between different patterns of intramammary edema on preoperative 3.0 T magnetic resonance imaging (MRI) TBetween May 2014 and December 2020, 191 patients with invasive breast cancer who had undergone preoperative MRI a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::b98a36183dbdd1ddf5d96ddb9d9a8401
https://pubmed.ncbi.nlm.nih.gov/35026664

Zobrazit plný text záznamu

Adaptive Transfer Learning on Graph Neural Networks

Autor: Xueting Han, Jing Bai, Zhenhuan Huang, Bang An

Publikováno v: KDD

Graph neural networks (GNNs) is widely used to learn a powerful representation of graph-structured data. Recent work demonstrates that transferring knowledge from self-supervised tasks to downstream tasks could further improve graph representation. H

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::145a2d38601ea4dccaa2b7e111e43f98
https://doi.org/10.1145/3447548.3467450

Zobrazit plný text záznamu

Quantitative parameters of magnetic resonance imaging cannot predict human epidermal growth factor receptor 2 (HER2) status in rectal cancer

Autor: Zhenhuan Huang, Xuezhao Tu, Qi Lin, Zejuan Zhan, Ying Li, Jinkai Liu

Publikováno v: Clinical imaging. 83

To retrospectively investigate whether magnetic resonance imaging (MRI) quantitative parameters can differentiate human epidermal growth factor receptor 2 (HER2) status in rectal cancer.This study included 89 patients with surgically confirmed rectal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94e21db7be4bd1021f50bc0b06702f26
https://pubmed.ncbi.nlm.nih.gov/34990984

Zobrazit plný text záznamu

Relationship between quantitative parameters of lumbar vertebral perfusion and bone mineral density (BMD) in postmenopausal women

Autor: Zejuan Zhan, Qi Lin, Jianwen Wang, Xuezhao Tu, Zhenhuan Huang

Publikováno v: Advances in Clinical and Experimental Medicine. 28:1005-1011

BACKGROUND Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a noninvasive method to evaluate the microcirculation of bone marrow in local tissue, which will be a new tool for the diagnosis of osteoporosis. OBJECTIVES To investigate t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23418419ee18e56a8050419f05dcd32d
https://doi.org/10.17219/acem/94150

Zobrazit plný text záznamu

Interpretable Attention Guided Network for Fine-Grained Visual Classification

Autor: Bo Zhao, Zhenhuan Huang, Xiaoyue Duan, Baochang Zhang, Jinhu Lu

Publikováno v: Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687984
ICPR Workshops (4)

Fine-grained visual classification (FGVC) is challenging but more critical than traditional classification tasks. It requires distinguishing different subcategories with the inherently subtle intra-class object variations. Previous works focus on enh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bef6f5cfdcad0c7bb34c7127f46815fe
https://doi.org/10.1007/978-3-030-68799-1_4

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání