Supported by National Natural Science Foundation of China,No.81770379.
BACKGROUND Hypertrophic cardiomyopathy(HCM)is one of the most prevalent inherited myocardial disorders and is charac-terized by considerable genetic and phenotypic heterogeneity.A subset of patients with HCM progress ...
supported by grants from the Excellent Youth Incubation Program of Chinese People's Liberation Army General Hospital (No.2020-YQPY-007);the Natural Science Foundation of Hainan Province,China (No.821QN389,821MS117,823MS161,820MS124,821MS112,822MS198,820MS126,820QN383,822MS193);the Military Medical Science and Technology Youth Incubation Program (China) (No.20QNPY110,19QNPY060);the Key R&D Program of Hainan Province,China (No.ZDYF2023SHFZ145);the Health Care Project of PLA (China) (No.22BJZ30);the Clinical Medical Research Center Project of Hainan Province,China (LCYX202106,LCYX202201,LCYX202303);the National Key R&D Program of China (No.2018YFC2000400);the National S&T Resource Sharing Service Platform Project of China (No.YCZYPT[2018]07);the Specific Research Fund of Innovation Platform for Academicians of Hainan Province,China (No.YSPTZX202216);the Heatstroke Treatment and Research Center of PLA (China) (No.413EGZ1D10);the Major Science and Technology Programme of Hainan Province,China (No.ZDKJ2019012).
B-type natriuretic peptide(BNP)system is critical to cardiovascular physiological and pathological processes,especially in the development and progression of heart failure(HF)caused by dilated cardiomyopathy(DCMHF).1,...
supported by the Xiamen Science and Technology Subsidy Project(No.2023CXY0318).
Abnormal network traffic, as a frequent security risk, requires a series of techniques to categorize and detect it. Existing network traffic anomaly detection still faces challenges: the inability to fully extract loc...
Supported by Sichuan Science and Technology Program(2023YFSY0026,2023YFH0004);Supported by the Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korean government(MSIT)(No.RS-2022-00155885,Artificial Intelligence Convergence Innovation Human Resources Development(Hanyang University ERICA)).
Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical robots.This st...
the Research Grant of Kwangwoon University in 2024.
Myocardial perfusion imaging(MPI),which uses single-photon emission computed tomography(SPECT),is a well-known estimating tool for medical diagnosis,employing the classification of images to show situations in coronar...
supported by the International Research Center of Big Data for Sustainable Development Goals under Grant No.CBAS2022GSP05;the Open Fund of State Key Laboratory of Remote Sensing Science under Grant No.6142A01210404;the Hubei Key Laboratory of Intelligent Geo-Information Processing under Grant No.KLIGIP-2022-B03.
Named entity recognition(NER)is an important part in knowledge extraction and one of the main tasks in constructing knowledge graphs.In today’s Chinese named entity recognition(CNER)task,the BERT-BiLSTM-CRF model is ...
Background Document images such as statistical reports and scientific journals are widely used in information technology.Accurate detection of table areas in document images is an essential prerequisite for tasks such...
Support by Sichuan Science and Technology Program(2021YFQ0003,2023YFSY 0026,2023YFH0004).
This study addresses the limitations of Transformer models in image feature extraction,particularly their lack of inductive bias for visual structures.Compared to Convolutional Neural Networks(CNNs),the Transformers a...
funded by National Nature Science Foundation of China,grant number 61302188。
In the field of image denoising, deep learning technology holds a dominance. However, the current network model tends to lose fine-grained information with the depth of the network. To address this issue, this paper p...
How to use a few defect samples to complete the defect classification is a key challenge in the production of mobile phone screens.An attention-relation network for the mobile phone screen defect classification is pro...