Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Yinghong Xie"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract To address the problem of dense crowd face detection in complex environments, this paper proposes a face detection model named Deep and Compact Face Detection (DCFD), which adopts an improved lightweight EfficientNetV2 network to replace the
Externí odkaz:
https://doaj.org/article/db16084cf05e4d708789ee175af8cf75
Publikováno v:
Cybersecurity, Vol 7, Iss 1, Pp 1-17 (2024)
Abstract Human pose estimation is an important task in computer vision, which can provide key point detection of human body and obtain bone information. At present, human pose estimation is mainly utilized for detection of large targets, and there is
Externí odkaz:
https://doaj.org/article/5ce1d65d38d04d90944f78f6016dcc95
Autor:
Xiaohan Shen, Jiao Dai, Lingchuan Guo, Zhigang Liu, Liu Yang, Dongmei Gu, Yinghong Xie, Zhuo Wang, Ziming Li, Haimiao Xu, Qihui Shi
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-12 (2024)
Abstract Accurate detection of circulating tumor cells (CTCs) in blood and non-blood body fluids enables generation of deterministic cancer diagnosis and represent a less invasive and safer liquid biopsy approach. Although genomic alternations have b
Externí odkaz:
https://doaj.org/article/223ddf4f04f546949d2ffd1f654d27aa
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 1, Pp 346-368 (2024)
In response to the limited detection ability and low model generalization ability of the YOLOv7 algorithm for small targets, this paper proposes a detection algorithm based on the improved YOLOv7 algorithm for steel surface defect detection. First, t
Externí odkaz:
https://doaj.org/article/2ad381724fd547efa6b2ed670ebf4f5f
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
IntroductionThe primary focus of this paper is to assess urban ecological environments by employing object detection on spatial-temporal data images within a city, in conjunction with other relevant information through data mining.MethodsFirstly, an
Externí odkaz:
https://doaj.org/article/32f999c1b7c94cf4b49f867e55effa89
Publikováno v:
Journal of Immunology Research, Vol 2023 (2023)
DJ-1 is significantly elevated in various malignancies. However, the clinical significance of DJ-1 in hormone receptor (HR)-positive (HR+) breast cancer remains unclear. We evaluated DJ-1 expression in different databases and validated in vitro assay
Externí odkaz:
https://doaj.org/article/4602078511194465b87f50408dd336b0
Autor:
Yan Liang, Chao Qian, Yinghong Xie, Xiang Huang, Junjie Chen, Yanlin Ren, Ziyi Fu, Yongfei Li, Tianyu Zeng, Fan Yang, Jianwei Zhou, Wei Li, Yongmei Yin, Changqing Wang
Publikováno v:
Cell Death Discovery, Vol 7, Iss 1, Pp 1-10 (2021)
Abstract Breast cancer is the most common cancer worldwide. JWA is a microtubule-associated protein that has been identified as a tumor suppressor, and its downregulation in tumors is an independent adverse prognostic factor. The objective of this st
Externí odkaz:
https://doaj.org/article/05ba5004d92c4c27ac9c0b11692a8b42
Autor:
Xueqi Yan, Yinghong Xie, Fan Yang, Yijia Hua, Tianyu Zeng, Chunxiao Sun, Mengzhu Yang, Xiang Huang, Hao Wu, Ziyi Fu, Wei Li, Shiping Jiao, Yongmei Yin
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 40, Iss 1, Pp 1-15 (2021)
Abstract Breast cancer is a heterogeneous disease with a complex microenvironment consisting of tumor cells, immune cells, fibroblasts and vascular cells. These cancer-associated cells shape the tumor microenvironment (TME) and influence the progress
Externí odkaz:
https://doaj.org/article/6ad4b17a1929406882eefd77c3e60a25
Publikováno v:
IEEE Access, Vol 8, Pp 61096-61106 (2020)
For visual tracking, key factors that affect the performance of trackers are related to whether it can effectively extract the appearance information and spatial information of a target. And most of state-of-the-art trackers either do not model the a
Externí odkaz:
https://doaj.org/article/b6b06ea2983e4a108442ec74319c6d21
Publikováno v:
IEEE Access, Vol 8, Pp 68638-68648 (2020)
The state-of-the-art trackers using deep learning technology have little special strategy to gain the bounding box well when the target suffers drastic geometric deformation. In this paper, we take full use of the convolutional neural network (CNN) f
Externí odkaz:
https://doaj.org/article/a4dc7c09c54d43a1bfaaa544173ab9ae