Zobrazeno 1 - 10
of 394
pro vyhledávání: '"Yunling Liu"'
Autor:
Nianqiang Jin, Binhang Wang, Xinyao Liu, Chengcheng Yin, Xing Li, Zilin Wang, Xi Chen, Yunling Liu, Wenhuan Bu, Hongchen Sun
Publikováno v:
Journal of Nanobiotechnology, Vol 21, Iss 1, Pp 1-15 (2023)
Abstract Background The implementation of pyroptosis exhibits significant potential as a tactic to enhance tumor immune microenvironments. Previous applications of pyroptosis inducers have encountered various limitations, such as the development of d
Externí odkaz:
https://doaj.org/article/a26b5613f9094c15b6be019a160c61b5
Autor:
Yunling Liu, Yaxiong Liu, Jingsong Li, Yaoxing Chen, Fengjuan Xu, Yifa Xu, Jing Cao, Yuntao Ma
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 10, Pp 18650-18669 (2023)
Automated organ segmentation in anatomical sectional images of canines is crucial for clinical applications and the study of sectional anatomy. The manual delineation of organ boundaries by experts is a time-consuming and laborious task. However, sem
Externí odkaz:
https://doaj.org/article/e9327d2d28bc429aa452219fa062a1fa
Publikováno v:
Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-20 (2023)
Abstract Background Head and Neck Squamous Cell Carcinoma is a malignant tumor with high morbidity and mortality. The MMP family plays an important role in tumor invasion and metastasis. However, the mechanistic value of the MMP family as a therapeut
Externí odkaz:
https://doaj.org/article/a06b14f822c94ad5973f17101b2cb31e
Autor:
Xingmei Xu, Lu Wang, Meiyan Shu, Xuewen Liang, Abu Zar Ghafoor, Yunling Liu, Yuntao Ma, Jinyu Zhu
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5388 (2022)
Leaf age is an important trait in the process of maize (Zea mays L.) growth. It is significant to estimate the seed activity and yield of maize by counting leaves. Detection and counting of the maize leaves in the field are very difficult due to the
Externí odkaz:
https://doaj.org/article/ced235d7f8de4b65a7d059843da1efd1
Publikováno v:
Drones, Vol 6, Iss 6, p 152 (2022)
Crop seedling detection is an important task in the seedling stage of crops in fine agriculture. In this paper, we propose a high-precision lightweight object detection network model based on a multi-activation layer and depth-separable convolution m
Externí odkaz:
https://doaj.org/article/5bbdd69397164276883e4ebd5fd9b9a9
Autor:
Yunling Liu, Guoli Zhang, Ke Shao, Shunfu Xiao, Qing Wang, Jinyu Zhu, Ruili Wang, Lei Meng, Yuntao Ma
Publikováno v:
Agronomy, Vol 12, Iss 4, p 893 (2022)
Accurate segmentation of individual leaves of sugar beet plants is of great significance for obtaining the leaf-related phenotypic data. This paper developed a method to segment the point clouds of sugar beet plants to obtain high-quality segmentatio
Externí odkaz:
https://doaj.org/article/021190c5124a4056acb38254ab537614
Publikováno v:
Information, Vol 12, Iss 12, p 495 (2021)
Apple flower detection is an important project in the apple planting stage. This paper proposes an optimized detection network model based on a generative module and pruning inference. Due to the problems of instability, non-convergence, and overfitt
Externí odkaz:
https://doaj.org/article/ea63e75dde60458fb9d0b9e39ec4ea23
Publikováno v:
Remote Sensing, Vol 12, Iss 2, p 338 (2020)
Maize tassels play a critical role in plant growth and yield. Extensive RGB images obtained using unmanned aerial vehicle (UAV) and the prevalence of deep learning provide a chance to improve the accuracy of detecting maize tassels. We used images fr
Externí odkaz:
https://doaj.org/article/026cacee71904d59999a1675dc99d08e
Autor:
Fangyou Yu, Yunling Liu, Jinnan Lv, Xiuqin Qi, Chaohui Lu, Yu Ding, Dan Li, Huanle Liu, Liangxing Wang
Publikováno v:
Brazilian Journal of Infectious Diseases, Vol 19, Iss 6, Pp 614-622 (2015)
A better understanding of the antimicrobial susceptibility, carriage of virulence determinants and molecular characteristics of Staphylococcus aureus isolates associated with skin and soft tissue infections (SSTIs) may provide further insights relate
Externí odkaz:
https://doaj.org/article/64fbb69c662d4b2eae68954610337f3a
Publikováno v:
In IFAC PapersOnLine 2018 51(17):483-488