Zobrazeno 1 - 10
of 99
pro vyhledávání: '"JUNWEI LV"'
Autor:
Yue Shen, Huanyu Li, Can Sun, Hongtao Ji, Daojun Zhang, Kun Hu, Yiqi Tang, Yu Chen, Zikun Wei, Junwei Lv
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Skin diseases pose significant challenges in China. Internet health forums offer a platform for millions of users to discuss skin diseases and share images for early intervention, leaving large amount of valuable dermatology images. However,
Externí odkaz:
https://doaj.org/article/bbc97f2b24a34466a92db6071a1307ca
Publikováno v:
Agriculture, Vol 14, Iss 9, p 1619 (2024)
The accumulation of cadmium (Cd) in agricultural soils presents a significant threat to crop safety, emphasizing the critical necessity for effective monitoring and management of soil Cd levels. Despite technological advancements, accurately monitori
Externí odkaz:
https://doaj.org/article/9a20cf2934d84250b1461266e463e930
Autor:
Daojun Zhang, Huanyu Li, Jiajia Shi, Yue Shen, Ling Zhu, Nianze Chen, Zikun Wei, Junwei Lv, Yu Chen, Fei Hao
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionAcne detection is critical in dermatology, focusing on quality control of acne imagery, precise segmentation, and grading. Traditional research has been limited, typically concentrating on singular aspects of acne detection.MethodsWe prop
Externí odkaz:
https://doaj.org/article/935b1e38b15b45f190f93b731a735890
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2731 (2024)
Rapid and accurate mapping of soil properties in farmlands is crucial for guiding agricultural production and maintaining food security. Traditional methods using spectral features from remote sensing prove valuable for estimating soil properties, bu
Externí odkaz:
https://doaj.org/article/5d2778ee4f1a44b18693e83739aeb993
Autor:
Huanyu Li, Peng Zhang, Zikun Wei, Tian Qian, Yiqi Tang, Kun Hu, Xianqiong Huang, Xinxin Xia, Yishuang Zhang, Haixing Cheng, Fubing Yu, Wenjia Zhang, Kena Dan, Xuan Liu, Shujun Ye, Guangqiao He, Xia Jiang, Liwei Liu, Yukun Fan, Tingting Song, Guomin Zhou, Ziyi Wang, Daojun Zhang, Junwei Lv
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
BackgroundDue to the lower reliability of laboratory tests, skin diseases are more suitable for diagnosis with AI models. There are limited AI dermatology diagnostic models combining images and text; few of these are for Asian populations, and few co
Externí odkaz:
https://doaj.org/article/b0b117de4df843ab983b9cf6d4e2a579
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 585 (2024)
Monocular depth estimation using a single remote sensing image has emerged as a focal point in both remote sensing and computer vision research, proving crucial in tasks such as 3D reconstruction and target instance segmentation. Monocular depth esti
Externí odkaz:
https://doaj.org/article/eb1fde24ac0b4490b744155fca008368
Publikováno v:
Remote Sensing, Vol 15, Iss 16, p 3920 (2023)
Remote sensing images play a crucial role in remote sensing target detection and 3D remote sensing modeling, and the enhancement of resolution holds significant application implications. The task of remote sensing target detection requires a substant
Externí odkaz:
https://doaj.org/article/f22e4c04a4ba4bdd9e6fd6ef08e07df3
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5769 (2022)
With the development of miniaturization technology, Synthetic Aperture Radar (SAR) can be equipped on small carriers such as small Unmanned Aerial Vehicles (UAVs). In order to lower the cost, the accuracy of navigation equipment carried by UAV SAR is
Externí odkaz:
https://doaj.org/article/bfa2c51453be482e865aed4d579561da
Autor:
Chengdi Wang, Jun Shao, Junwei Lv, Yidi Cao, Chaonan Zhu, Jingwei Li, Wei Shen, Lei Shi, Dan Liu, Weimin Li
Publikováno v:
Translational Oncology, Vol 14, Iss 8, Pp 101141- (2021)
Objectives: The subtype classification of lung adenocarcinoma is important for treatment decision. This study aimed to investigate the deep learning and radiomics networks for predicting histologic subtype classification and survival of lung adenocar
Externí odkaz:
https://doaj.org/article/7a5760d77c8845518f343f34052b212d
Publikováno v:
IEEE Access, Vol 7, Pp 96113-96124 (2019)
Early classification of time series aims to predict the class value of a sequence accurately as early as possible, not wait for the full-length data, which is significant in many time-sensitive applications and has attracted great interest in recent
Externí odkaz:
https://doaj.org/article/df7266a782614085a61ab9b4aecc0931