Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Tengying Liu"'
Autor:
Haichao Cao, Hong Liu, Enmin Song, Guangzhi Ma, Xiangyang Xu, Renchao Jin, Tengying Liu, Chih-Cheng Hung
Publikováno v:
IEEE Access, Vol 7, Pp 67380-67391 (2019)
It is critical to have accurate detection of lung nodules in CT images for the early diagnosis of lung cancer. In order to achieve this, it is necessary to reduce the false positive rate of detection. Due to the heterogeneity of lung nodules and thei
Externí odkaz:
https://doaj.org/article/4e96665f01364ab19c14c94708b0b32c
Autor:
Guangzhi Ma, Xiangyang Xu, Haichao Cao, Chih-Cheng Hung, Enmin Song, Hong Liu, Tengying Liu, Renchao Jin
Publikováno v:
IEEE Access, Vol 7, Pp 67380-67391 (2019)
It is critical to have accurate detection of lung nodules in CT images for the early diagnosis of lung cancer. In order to achieve this, it is necessary to reduce the false positive rate of detection. Due to the heterogeneity of lung nodules and thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11a671b9858d35f2e49f3f2a8807ab16
https://doi.org/10.1109/access.2019.2906116
https://doi.org/10.1109/access.2019.2906116
Autor:
Enmin Song, Lei Liu, Hong Liu, Tengying Liu, Chih Cheng Hung, Haichao Cao, Daiyang Liu, Xiangyang Xu, Renchao Jin, Guangzhi Ma
Publikováno v:
Medical physicsREFERENCES. 48(4)
Purpose The segmentation accuracy of medical images was improved by increasing the number of training samples using a local image warping technique. The performance of the proposed method was evaluated in the segmentation of breast masses, prostate a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9eddd37f408d1324e1d9354b3ffd483
https://pubmed.ncbi.nlm.nih.gov/33300190
https://pubmed.ncbi.nlm.nih.gov/33300190
Autor:
Tengying Liu, Xiangyang Xu, Hong Liu, Renchao Jin, Haichao Cao, Guangzhi Ma, Chih-Cheng Hung, Enmin Song
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-1
Early detection of lung cancer is an effective way to improve the survival rate of patients. It is a critical step to have accurate detection of lung nodules in computed tomography (CT) images for the diagnosis of lung cancer. However, due to the het
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deef874f89b1f3b01fcd03ae8d697379
https://doi.org/10.1109/jbhi.2019.2963720
https://doi.org/10.1109/jbhi.2019.2963720