Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Lilei Sun"'
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 8, Iss 2, Pp 453-467 (2023)
Abstract Deep learning has been widely used in the field of mammographic image classification owing to its superiority in automatic feature extraction. However, general deep learning models cannot achieve very satisfactory classification results on m
Externí odkaz:
https://doaj.org/article/5564f48669cb4cc69242eae1be0b85b8
Publikováno v:
IET Image Processing, Vol 17, Iss 5, Pp 1590-1602 (2023)
Abstract Strabismus is a common ophthalmologic disease that affects approximately 1.19% to 5.0% of children; however if the disease is detected early it can be treated effectively. Generally, the automatic detection of strabismus is usually performed
Externí odkaz:
https://doaj.org/article/a71f988f2b1c46639f772ddc3e8a0a87
Publikováno v:
IET Biometrics, Vol 11, Iss 6, Pp 588-600 (2022)
Abstract Breast cancer accounts for the largest number of patients among all cancers in the world. Intervention treatment for early breast cancer can dramatically extend a woman's 5‐year survival rate. However, the lack of public available breast m
Externí odkaz:
https://doaj.org/article/3cfcb2d6d8e445508786ff77e402f30b
Publikováno v:
Electronics Letters, Vol 57, Iss 1, Pp 13-16 (2021)
Abstract Distance metric forms the basis of pattern classification, as almost all classifiers depend on such a metric for making classification decisions. However, the existing research testifies that a single‐distance metric is not robust enough f
Externí odkaz:
https://doaj.org/article/1743ddb7fea14b2bbd68bad9ad700cc5
Publikováno v:
IEEE Access, Vol 7, Pp 126273-126282 (2019)
In recent years, deep learning has been widely applied for mammographic image classification. However, most of the existing methods are based on a single mammography view and cannot sufficiently extract discriminative features, thereby resulting in a
Externí odkaz:
https://doaj.org/article/abd1facda0f344cab40f721d61caacd0
Publikováno v:
Sensors, Vol 21, Iss 8, p 2855 (2021)
In recent years, computer vision technology has been widely used in the field of medical image processing. However, there is still a big gap between the existing breast mass detection methods and the real-world application due to the limited detectio
Externí odkaz:
https://doaj.org/article/e0da749d7d2b425ba734f40eacba64bf
Identification of Potential Inhibitors of PDE5 based on Structure-based Virtual Screening Approaches
Publikováno v:
Current Computer-Aided Drug Design. 19:234-242
Background: Phosphodiesterase type 5 (PDE5), exclusively specific for cyclic guanidine monophosphate (cGMP), a potential target for the therapy of various diseases, and PDE5 inhibitors could be used as a treatment for erectile dysfunction (ED) or chr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab81aefbdced754b5880d70ede8a18fa
https://doi.org/10.2174/1573409919666221208143327
https://doi.org/10.2174/1573409919666221208143327
Autor:
Zhijun Hu, Guanghai Liu, Raja Soosaimarian Peter Raj, Lilei Sun, Xianjing Cheng, Lian Wu, Jie Wen, Yong Xu
Publikováno v:
IEEE Transactions on Computational Social Systems. 9:1345-1358
Center loss is widely used as a supervision tool in deep learning method. However, the center loss also has some shortcomings, the most important of which is that it must be combined with softmax loss to run well. In this article, we sum up five shor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad572c742e67e8bc1e2ccde6d7c73b29
https://doi.org/10.1109/tcss.2021.3127561
https://doi.org/10.1109/tcss.2021.3127561
Publikováno v:
Applied Intelligence. 53:2576-2592
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c0cf27bbed59e25cac9887f276b018a
https://doi.org/10.1007/s10489-022-03192-1
https://doi.org/10.1007/s10489-022-03192-1
Publikováno v:
Electronics Letters, Vol 57, Iss 1, Pp 13-16 (2021)
Distance metric forms the basis of pattern classification, as almost all classifiers depend on such a metric for making classification decisions. However, the existing research testifies that a single‐distance metric is not robust enough for classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d28388dc868550cee08eb0e4a47dd19e
https://doaj.org/article/1743ddb7fea14b2bbd68bad9ad700cc5
https://doaj.org/article/1743ddb7fea14b2bbd68bad9ad700cc5