Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Pengshuai Yin"'
Publikováno v:
IEEE Access, Vol 8, Pp 116106-116116 (2020)
Segmentation of 2D images is a fundamental problem for biomedical image analysis. The most widely used architecture for biomedical image segmentation is U-Net. U-Net introduces skip-connections to restore the spatial information loss caused by down-s
Externí odkaz:
https://doaj.org/article/cbed7399c67446ab87d4ee23a4b6c205
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3687 (2022)
Automatic vessel structure segmentation is essential for an automatic disease diagnosis system. The task is challenging due to vessels’ different shapes and sizes across populations. This paper proposes a multiscale network with dual attention to s
Externí odkaz:
https://doaj.org/article/e31a97fedddf4d03b7c67f74d9f08ab9
Publikováno v:
IEEE Access, Vol 7, Pp 169174-169184 (2019)
Feature selection aims to remove irrelevant and redundant features from input data. For gene expression, selecting important genes from gene expression data is essential since the gene expression data often consists of a large number of genes. Howeve
Externí odkaz:
https://doaj.org/article/fc830daf9ea7436a8cc9fb8fd8f204b0
Publikováno v:
Information Fusion. 78:199-208
Accurate retinal vessel segmentation is very challenging. Recently, the deep learning based method has greatly improved performance. However, the non-vascular structures usually harm the performance and some low contrast small vessels are hard to be
Publikováno v:
Neurocomputing. 464:330-341
Optic disc and cup segmentation play an essential step towards automatic retinal diagnose system. The task is very challenging since the boundary between optic disc and cup is weak and the existing segmentation network with cross-entropy loss is hard
Autor:
Huihui Fang, Pengshuai Yin, Huanxin Chen, Yupeng Fang, Wan Chen, Jin Yuan, Higashita Risa, Jiang Liu, Yanwu Xu
Publikováno v:
Computer Methods and Programs in Biomedicine. 230:107322
Background: Automatic vessel structure segmentation is an essential step towards an automatic disease diagnosis system. The task is challenging due to the variance shapes and sizes of vessels across populations.Methods: A multiscale network with dual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e394d673e3481072e902791e595367d6
https://doi.org/10.21203/rs.3.rs-1170254/v1
https://doi.org/10.21203/rs.3.rs-1170254/v1
Publikováno v:
2021 IEEE International Conference on e-Business Engineering (ICEBE).
Publikováno v:
2021 IEEE International Conference on e-Business Engineering (ICEBE).
Publikováno v:
IEEE Access, Vol 7, Pp 169174-169184 (2019)
Feature selection aims to remove irrelevant and redundant features from input data. For gene expression, selecting important genes from gene expression data is essential since the gene expression data often consists of a large number of genes. Howeve