Zobrazeno 1 - 10
of 1 819
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
We rethink the segment anything model (SAM) and propose a novel multiprompt network called COMPrompter for camouflaged object detection (COD). SAM has zero-shot generalization ability beyond other models and can provide an ideal framework for COD. Ou
Externí odkaz:
http://arxiv.org/abs/2411.18858
Test-time prompt tuning, which learns prompts online with unlabelled test samples during the inference stage, has demonstrated great potential by learning effective prompts on-the-fly without requiring any task-specific annotations. However, its perf
Externí odkaz:
http://arxiv.org/abs/2410.20346
Hallucination, a phenomenon where multimodal large language models~(MLLMs) tend to generate textual responses that are plausible but unaligned with the image, has become one major hurdle in various MLLM-related applications. Several benchmarks have b
Externí odkaz:
http://arxiv.org/abs/2410.09962
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
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
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
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