Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Yanning Zhou"'
Publikováno v:
IEEE Access, Vol 8, Pp 125501-125512 (2020)
This study aims at investigating drivers' risk perception ability. To achieve this objective, the risk sensitivity and risk judgment thresholds of drivers of different ages were calculated. Five scenarios of intersections with risks were established
Externí odkaz:
https://doaj.org/article/d6eabe426c1a4ef981690c7ad73c65c1
Publikováno v:
Transportation Safety & Environment; Sep2023, Vol. 5 Issue 4, p1-10, 10p
Publikováno v:
J Assist Reprod Genet
PURPOSE: To evaluate the unknown genetic causes of teratozoospermia, and determine the pathogenicity of candidate variants. METHODS: A primary infertile patient and his family members were recruited in the West China Second University Hospital of Sic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f2d5d0657aae0d82152bf13d1b6e227
https://doi.org/10.1007/s10815-022-02431-1
https://doi.org/10.1007/s10815-022-02431-1
Autor:
Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Chu Han, Zaiyi Liu, Xin Hao Benjamin Fang, Efstratios Tsougenis, Huangjing Lin, Pheng-Ann Heng
Publikováno v:
Radiol Artif Intell
Two DL models were developed using radiograph-level annotations (yes or no disease) and fine-grained lesion-level annotations (lesion bounding boxes), respectively named CheXNet and CheXDet. The models' internal classification performance and lesion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7b9f15746f9281d5592b7ed57d783d9
https://europepmc.org/articles/PMC9530769/
https://europepmc.org/articles/PMC9530769/
Publikováno v:
IEEE Access, Vol 8, Pp 125501-125512 (2020)
This study aims at investigating drivers' risk perception ability. To achieve this objective, the risk sensitivity and risk judgment thresholds of drivers of different ages were calculated. Five scenarios of intersections with risks were established
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c83b0bb2b533606aac9dbce389d5f75
https://ieeexplore.ieee.org/document/9133404/
https://ieeexplore.ieee.org/document/9133404/
Computational cytology is a critical, rapid-developing, yet challenging topic in medical image computing concerned with analyzing digitized cytology images by computer-aided technologies for cancer screening. Recently, an increasing number of deep le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69f9eb6145c76c0142ce004fc9fd20f1
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b3409003b4761cc2bbcb7fdc5de4aeb
https://doi.org/10.1109/iccv48922.2021.00695
https://doi.org/10.1109/iccv48922.2021.00695
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871956
MICCAI (2)
MICCAI (2)
Chest X-ray (CXR) is the most typical diagnostic X-ray examination for screening various thoracic diseases. Automatically localizing lesions from CXR is promising for alleviating radiologists’ reading burden. However, CXR datasets are often with ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ba74e7d049d5fe5a9586072318785b5
https://doi.org/10.1007/978-3-030-87196-3_50
https://doi.org/10.1007/978-3-030-87196-3_50
Publikováno v:
Sustainability; Volume 14; Issue 8; Pages: 4769
The proportion of older drivers has increased with the aging population. In order to improve the driving behavior and safety of older drivers, we aim to analyze behavior differences between older and younger drivers and then study an improvement stra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50d6cb3f507213741557c9403ccac3a5
https://doi.org/10.3390/su14084769
https://doi.org/10.3390/su14084769
Publikováno v:
CICTP 2020.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20a7f88eb68a7a4d8cebe2c4ba0131a2
https://doi.org/10.1061/9780784482933.333
https://doi.org/10.1061/9780784482933.333