Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ziyang Liu"'
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 404-420 (2024)
Goal: Augment a small, imbalanced, wound dataset by using semi-supervised learning with a secondary dataset. Then utilize the augmented wound dataset for deep learning-based wound assessment. Methods: The clinically-validated Photographic Wound Asses
Externí odkaz:
https://doaj.org/article/0dd534e396e0400a8669feb4673feb1a
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 3, Pp 189-201 (2022)
Motivation: Infection (bacteria in the wound) and ischemia (insufficient blood supply) in Diabetic Foot Ulcers (DFUs) increase the risk of limb amputation. Goal: To develop an image-based DFU infection and ischemia detection system that uses deep lea
Externí odkaz:
https://doaj.org/article/ff38f2524f19447eaad5412a9876e9aa
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 224-234 (2021)
Goal: Chronic wounds affect 6.5 million Americans. Wound assessment via algorithmic analysis of smartphone images has emerged as a viable option for remote assessment. Methods: We comprehensively score wounds based on the clinically-validated Photogr
Externí odkaz:
https://doaj.org/article/128466a0897a4795bd42efbf9f8fb9e7
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
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Publikováno v:
2021 International Conference on Electronic Information Technology and Smart Agriculture (ICEITSA).
Publikováno v:
2021 7th International Conference on Systems and Informatics (ICSAI).
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
Publikováno v:
2021 IEEE International Conference on Multimedia and Expo (ICME).