Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Nengkai Wu"'
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8963 (2024)
Segmentation of weak edge targets such as glass and plastic poses a challenge in the field of target segmentation. The detection process is susceptible to background interference and various external factors due to the transparent nature of these mat
Externí odkaz:
https://doaj.org/article/b7b3106d0bfb4181b93a6557524de5c2
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8234 (2024)
Achieving vibration-free smooth motion of industrial robotic arms in a short period is an important research topic. Existing path planning algorithms often sacrifice smoothness in pursuit of efficient motion. A robotic trajectory planning particle sw
Externí odkaz:
https://doaj.org/article/04f3e09414ac4a389777f47710eadcb8
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 2364-2381 (2023)
Early screening for cervical cancer is a common form of cancer prevention. In the microscopic images of cervical cells, the number of abnormal cells is small, and some abnormal cells are heavily stacked. How to solve the segmentation of highly overla
Externí odkaz:
https://doaj.org/article/9c7776d1e0fd4845a0359449c7e5b041
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 44:4335-4355
Cervical cancer is one of the most common causes of death in women in the world, and early screening is an effective means of diagnosis and treatment, which can greatly improve the survival rate. Cervical cell classification model is an effective mea
Publikováno v:
Multimedia Tools and Applications. 81:18783-18805
Publikováno v:
Multimedia Tools and Applications. 81:10299-10311
Publikováno v:
Multimedia Tools and Applications. 81:8939-8961
Publikováno v:
Mathematical Biosciences and Engineering. 20:2364-2381
Early screening for cervical cancer is a common form of cancer prevention. In the microscopic images of cervical cells, the number of abnormal cells is small, and some abnormal cells are heavily stacked. How to solve the segmentation of highly overla
Publikováno v:
Biomedical Signal Processing and Control. 77:103739