Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Yangqin Feng"'
Autor:
Yangqin Feng, Jordan Sim Zheng Ting, Xinxing Xu, Chew Bee Kun, Edward Ong Tien En, Hendra Irawan Tan Wee Jun, Yonghan Ting, Xiaofeng Lei, Wen-Xiang Chen, Yan Wang, Shaohua Li, Yingnan Cui, Zizhou Wang, Liangli Zhen, Yong Liu, Rick Siow Mong Goh, Cher Heng Tan
Publikováno v:
Diagnostics, Vol 13, Iss 8, p 1397 (2023)
Chest X-rays (CXRs) are essential in the preliminary radiographic assessment of patients affected by COVID-19. Junior residents, as the first point-of-contact in the diagnostic process, are expected to interpret these CXRs accurately. We aimed to ass
Externí odkaz:
https://doaj.org/article/46055299ea5948cdbb365a9305f1e6bf
Autor:
Lituan Wang, Yangqin Feng, Qiufang Fu, Jianyong Wang, Xunwei Sun, Xiaolan Fu, Lei Zhang, Zhang Yi
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Although many studies have provided evidence that abstract knowledge can be acquired in artificial grammar learning, it remains unclear how abstract knowledge can be attained in sequence learning. To address this issue, we proposed a dual simple recu
Externí odkaz:
https://doaj.org/article/0eabf918de9848c9bf4758a9244a988e
Autor:
Jordan Z. T. Sim, Yong-Han Ting, Yuan Tang, Yangqin Feng, Xiaofeng Lei, Xiaohong Wang, Wen-Xiang Chen, Su Huang, Sum-Thai Wong, Zhongkang Lu, Yingnan Cui, Soo-Kng Teo, Xin-Xing Xu, Wei-Min Huang, Cher-Heng Tan
Publikováno v:
Healthcare, Vol 10, Iss 1, p 175 (2022)
(1) Background: Chest radiographs are the mainstay of initial radiological investigation in this COVID-19 pandemic. A reliable and readily deployable artificial intelligence (AI) algorithm that detects pneumonia in COVID-19 suspects can be useful for
Externí odkaz:
https://doaj.org/article/3428986221174f01aae00b53c08ac4bb
Autor:
Yangqin Feng, Yan Wang, Jordan Sim Zheng Ting, Cher Heng Tan, Soo-Kng Teo, Yonghan Ting, Xiaofeng Lei, Xinxing Xu, Liangli Zhen, Yong Liu, Joey Tianyi Zhou
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:1080-1090
Pneumonia is one of the most common treatable causes of death, and early diagnosis allows for early intervention. Automated diagnosis of pneumonia can therefore improve outcomes. However, it is challenging to develop high-performance deep learning mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5f7b4695c61ab3708623160cc35e7df
https://doi.org/10.1109/jbhi.2021.3100119
https://doi.org/10.1109/jbhi.2021.3100119
Publikováno v:
IEEE transactions on cybernetics.
Deep neural network has shown a powerful performance in the medical image analysis of a variety of diseases. However, a number of studies over the past few years have demonstrated that these deep learning systems can be vulnerable to well-designed ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::442ed56488be3064a9495f26b3fb09a8
https://pubmed.ncbi.nlm.nih.gov/36240037
https://pubmed.ncbi.nlm.nih.gov/36240037
Publikováno v:
Quantum Electronics. 50:21-32
A set of deep neural network models for rheumatoid arthritis (RA) classification using a highway network, a convolutional neural network and a residual network is proposed based on the data of diffuse optical tomography (DOT) utilising near-infrared
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce86e128714cd3b34893b163d001f7ae
https://doi.org/10.1070/qel17177
https://doi.org/10.1070/qel17177
Autor:
Xiaofeng Lei, Shaohua Li, Xinxing Xu, Huazhu Fu, Yong Liu, Yih-Chung Tham, Yangqin Feng, Mingrui Tan, Yanyu Xu, Jocelyn Hui Lin Goh, Rick Siow Mong Goh, Ching-Yu Cheng
Publikováno v:
Ophthalmic Medical Image Analysis ISBN: 9783031165245
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed73f6b8a37fa5ccff5454fd374c781e
https://doi.org/10.1007/978-3-031-16525-2_10
https://doi.org/10.1007/978-3-031-16525-2_10
Autor:
Yangqin Feng, Zizhou Wang, Xinxing Xu, Yan Wang, Huazhu Fu, Shaohua Li, Liangli Zhen, Xiaofeng Lei, Yingnan Cui, Jordan Sim Zheng Ting, Yonghan Ting, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Cher Heng Tan
Publikováno v:
Medical Image Analysis. 83:102664
Pneumonia can be difficult to diagnose since its symptoms are too variable, and the radiographic signs are often very similar to those seen in other illnesses such as a cold or influenza. Deep neural networks have shown promising performance in autom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afdf091b570e4240cd2e9b5e028d644a
https://doi.org/10.1016/j.media.2022.102664
https://doi.org/10.1016/j.media.2022.102664
Publikováno v:
IEEE transactions on medical imaging. 41(3)
The early detection and timely treatment of breast cancer can save lives. Mammography is one of the most efficient approaches to screening early breast cancer. An automatic mammographic image classification method could improve the work efficiency of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1657b55914de172c9abb9b8d8a32876
https://pubmed.ncbi.nlm.nih.gov/34606448
https://pubmed.ncbi.nlm.nih.gov/34606448
Publikováno v:
IEEE/ACM transactions on computational biology and bioinformatics. 19(4)
To obtain a well-performed computer-aided detection model for detecting breast cancer, it is usually needed to design an effective and efficient algorithm and a well-labeled dataset to train it. In this paper, firstly, a multi-instance mammography cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::784150ee22c74bd93c9a4ae8a6d079c1
https://pubmed.ncbi.nlm.nih.gov/33600319
https://pubmed.ncbi.nlm.nih.gov/33600319