Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Rui-Wei Zhao"'
Publikováno v:
IEEE Access, Vol 12, Pp 122852-122877 (2024)
Open set recognition (OSR) for medical images is vital to ensure practical safeguards in clinical applications. It demands establishing model awareness of rare and unknown conditions, rejecting what the model does not know, and thus preventing these
Externí odkaz:
https://doaj.org/article/b9173b38f37c490eac1f0fcb8bccc0c5
Autor:
Shanshan Du, Yingwen Wang, Xinyu Huang, Rui-Wei Zhao, Xiaobo Zhang, Rui Feng, Quanli Shen, Jian Qiu Zhang
Publikováno v:
IEEE Access, Vol 11, Pp 22904-22916 (2023)
Digital X-ray radiography is widely used in clinical diagnosis. High quality chest X-ray is conducive to the accurate diagnosis of diseases by clinicians. However, the quality assessment of the chest X-ray images mainly depends on the subjective eval
Externí odkaz:
https://doaj.org/article/deb259a7e6f64d328cb4940c6ac794ff
Publikováno v:
Third International Conference on Computer Science and Communication Technology (ICCSCT 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::459bc56053828e6cd27fae4ba90c9113
https://doi.org/10.1117/12.2662623
https://doi.org/10.1117/12.2662623
Publikováno v:
Third International Conference on Computer Science and Communication Technology (ICCSCT 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3838105cef05c302030d3db03a4eee5
https://doi.org/10.1117/12.2662626
https://doi.org/10.1117/12.2662626
Publikováno v:
2022 IEEE International Conference on Multimedia and Expo (ICME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c94edeabf20ad675c81c913c85dd0da
https://doi.org/10.1109/icme52920.2022.9859855
https://doi.org/10.1109/icme52920.2022.9859855
Publikováno v:
2022 IEEE International Conference on Multimedia and Expo (ICME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45701f7b3fe6f44acc35b7390da44d3b
https://doi.org/10.1109/icme52920.2022.9859690
https://doi.org/10.1109/icme52920.2022.9859690
Autor:
Xiaotong Li, Jilan Xu, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Automatic video polyp segmentation (VPS) is highly valued for the early diagnosis of colorectal cancer. However, existing methods are limited in three respects: 1) most of them work on static images, while ignoring the temporal information in consecu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d43a041ca2f300ca97b7c3789edd05d
https://doi.org/10.24963/ijcai.2022/155
https://doi.org/10.24963/ijcai.2022/155
Autor:
Junlin Hou, Jilan Xu, Fan Xiao, Rui-Wei Zhao, Yuejie Zhang, Haidong Zou, Lina Lu, Wenwen Xue, Rui Feng
Automatic diabetic retinopathy (DR) grading based on fundus photography has been widely explored to benefit the routine screening and early treatment. Existing researches generally focus on single-field fundus images, which have limited field of view
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f9577fcf91325656fae119683b1b47c
Visual-only self-supervised learning has achieved significant improvement in video representation learning. Existing related methods encourage models to learn video representations by utilizing contrastive learning or designing specific pretext tasks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5dab8a88cf63a0e07fe9afdc99d5cb0
Weakly Supervised Object Localization (WSOL) aims to localize objects with image-level supervision. Existing works mainly rely on Class Activation Mapping (CAM) derived from a classification model. However, CAM-based methods usually focus on the most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::945822a8b41b37d7fa9ce2aa588f4748