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of 3
pro vyhledávání: '"Ziyang Liu"'
Autor:
Ameya Wagh, Shubham Jain, Apratim Mukherjee, Emmanuel Agu, Peder C. Pedersen, Diane Strong, Bengisu Tulu, Clifford Lindsay, Ziyang Liu
Publikováno v:
IEEE Access, Vol 8, Pp 181590-181604 (2020)
Smartphone wound image analysis has recently emerged as a viable way to assess healing progress and provide actionable feedback to patients and caregivers between hospital appointments. Segmentation is a key image analysis step, after which attribute
Externí odkaz:
https://doaj.org/article/8ad23a6e8d164ca283366c423aa4c9e9
Autor:
Xixuan Zhao, Ziyang Liu, Emmanuel Agu, Ameya Wagh, Shubham Jain, Clifford Lindsay, Bengisu Tulu, Diane Strong, Jiangming Kan
Publikováno v:
IEEE Access, Vol 7, Pp 179151-179162 (2019)
Diabetes mellitus is a serious chronic disease that affects millions of people worldwide. In patients with diabetes, ulcers occur frequently and heal slowly. Grading and staging of diabetic ulcers is the first step of effective treatment and wound de
Externí odkaz:
https://doaj.org/article/2857831ee60d495799a6e601f4ef9cae
Autor:
Diane M. Strong, Bengisu Tulu, Shubham Jain, Emmanuel Agu, Ameya Wagh, Ziyang Liu, Peder C. Pedersen, Clifford Lindsay, Apratim Mukherjee
Publikováno v:
IEEE Access, Vol 8, Pp 181590-181604 (2020)
IEEE Access
IEEE Access
Smartphone wound image analysis has recently emerged as a viable way to assess healing progress and provide actionable feedback to patients and caregivers between hospital appointments. Segmentation is a key image analysis step, after which attribute