Zobrazeno 1 - 10
of 1 739
pro vyhledávání: '"Zhang Xiaoqin"'
Autor:
Xu Xu, Zhang Li, Liu Jiamin, Kong Xiangxin, Yin Yu, Jia Zhiwei, Zhang Xiaoqin, Peng Bin, Ji Min, Pan Wanlong
Publikováno v:
Open Life Sciences, Vol 18, Iss 1, Pp 589-99 (2023)
This study examined exosomal hepatitis B virus (HBV)-DNA levels in chronic HBV infection (CHB). Patients were grouped according to the European Association for the Study of the Liver classification (1: HBV-DNA-positive CHB, normal alanine aminotransf
Externí odkaz:
https://doaj.org/article/4051eacf019c4525b5c174f9d67f6a38
Publikováno v:
Clinical and Experimental Hypertension, Vol 44, Iss 3, Pp 199-207 (2022)
Background The objective of the present work was to study the anti-hypertensive effect of allisartan on blood pressure (BP) and in facilitating left ventricular remodeling through voltage-gated potassium channels (Kv) 1.5 channels. Methods A total of
Externí odkaz:
https://doaj.org/article/a73cd77457ba438fa9eb865080d62246
Autor:
WU Y, ZHANG Xiaoqin
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 18, Pp 1707-1712 (2021)
At present, our world has entered an aging society, with more and more people suffering from various diseases, but the limited medical resources are difficult to meet the medical needs of today's society. Artificial intelligence has been used in medi
Externí odkaz:
https://doaj.org/article/6c6570e19a194f49a718967f0fcdaff1
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 18, Pp 1720-1728 (2021)
Objective To construct a deep learning automatic segmentation model based on the magnetic resonance image (MRI) of the pelvic floor, and make the intelligent segmentation of the pelvic floor MR image so as to reduce the work intensity of doctors and
Externí odkaz:
https://doaj.org/article/a6411ec5299247759286e83cdfa5770c
This paper introduces a new Segment Anything Model with Depth Perception (DSAM) for Camouflaged Object Detection (COD). DSAM exploits the zero-shot capability of SAM to realize precise segmentation in the RGB-D domain. It consists of the Prompt-Deepe
Externí odkaz:
http://arxiv.org/abs/2407.12339
Publikováno v:
Archives of Biological Sciences, Vol 73, Iss 2, Pp 303-313 (2021)
Proliferation, migration, and the phenotypic switch of vascular smooth muscle cells (VSMCs) play an important role in vascular remodeling induced by hypertension. Astragaloside IV (AS-IV), the active ingredient of Astragalus membranaceus, has been sh
Externí odkaz:
https://doaj.org/article/8b81dd77205a428999a3aaee61ad8f19
Pre-training has emerged as a simple yet powerful methodology for representation learning across various domains. However, due to the expensive training cost and limited data, pre-training has not yet been extensively studied in correspondence prunin
Externí odkaz:
http://arxiv.org/abs/2406.05773
Video Object Segmentation (VOS) aims to track objects across frames in a video and segment them based on the initial annotated frame of the target objects. Previous VOS works typically rely on fully annotated videos for training. However, acquiring f
Externí odkaz:
http://arxiv.org/abs/2405.14010
Monocular 3D object detection aims for precise 3D localization and identification of objects from a single-view image. Despite its recent progress, it often struggles while handling pervasive object occlusions that tend to complicate and degrade the
Externí odkaz:
http://arxiv.org/abs/2405.07696
Autor:
Gao, Jin, Lin, Shubo, Wang, Shaoru, Kou, Yutong, Li, Zeming, Li, Liang, Zhang, Congxuan, Zhang, Xiaoqin, Wang, Yizheng, Hu, Weiming
Masked image modeling (MIM) pre-training for large-scale vision transformers (ViTs) has enabled promising downstream performance on top of the learned self-supervised ViT features. In this paper, we question if the \textit{extremely simple} lightweig
Externí odkaz:
http://arxiv.org/abs/2404.12210