Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Anisuzzaman, D. M."'
The classification of wound severity is a critical step in wound diagnosis. An effective classifier can help wound professionals categorize wound conditions more quickly and affordably, allowing them to choose the best treatment option. This study us
Externí odkaz:
http://arxiv.org/abs/2204.07942
Autor:
Anisuzzaman, D. M., Patel, Yash, Rostami, Behrouz, Niezgoda, Jeffrey, Gopalakrishnan, Sandeep, Yu, Zeyun
Publikováno v:
Sci Rep 12, 20057 (2022)
Wound classification is an essential step of wound diagnosis. An efficient classifier can assist wound specialists in classifying wound types with less financial and time costs and help them decide an optimal treatment procedure. This study developed
Externí odkaz:
http://arxiv.org/abs/2109.06969
Autor:
Foomani, Farnaz H., Anisuzzaman, D. M., Niezgoda, Jeffrey, Niezgoda, Jonathan, Guns, William, Gopalakrishnan, Sandeep, Yu, Zeyun
Wound prognostic models not only provide an estimate of wound healing time to motivate patients to follow up their treatments but also can help clinicians to decide whether to use a standard care or adjuvant therapies and to assist them with designin
Externí odkaz:
http://arxiv.org/abs/2105.01159
Publikováno v:
Biomedical Signal Processing and Control 69 (2021): 102931
In the U.S, 5-10\% of new pediatric cases of cancer are primary bone tumors. The most common type of primary malignant bone tumor is osteosarcoma. The intention of the present work is to improve the detection and diagnosis of osteosarcoma using compu
Externí odkaz:
http://arxiv.org/abs/2011.01177
Autor:
Rostami, Behrouz, Anisuzzaman, D. M., Wang, Chuanbo, Gopalakrishnan, Sandeep, Niezgoda, Jeffrey, Yu, Zeyun
Publikováno v:
Computers in Biology and Medicine (2021)
Acute and chronic wounds are a challenge to healthcare systems around the world and affect many people's lives annually. Wound classification is a key step in wound diagnosis that would help clinicians to identify an optimal treatment procedure. Henc
Externí odkaz:
http://arxiv.org/abs/2010.09593
Autor:
Anisuzzaman, D. M., Wang, Chuanbo, Rostami, Behrouz, Gopalakrishnan, Sandeep, Niezgoda, Jeffrey, Yu, Zeyun
Publikováno v:
Adv Wound Care (New Rochelle). 2021 Sep 21. PMID: 34544270
Efficient and effective assessment of acute and chronic wounds can help wound care teams in clinical practice to greatly improve wound diagnosis, optimize treatment plans, ease the workload and achieve health related quality of life to the patient po
Externí odkaz:
http://arxiv.org/abs/2009.07141
Publikováno v:
IEEE Access. 30 May 2022
We present an automated wound localizer from 2D wound and ulcer images by using deep neural network, as the first step towards building an automated and complete wound diagnostic system. The wound localizer has been developed by using YOLOv3 model, w
Externí odkaz:
http://arxiv.org/abs/2009.07133
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Wang, Chuanbo1, Anisuzzaman, D. M.1, Williamson, Victor1, Dhar, Mrinal Kanti1, Rostami, Behrouz2, Niezgoda, Jeffrey3, Gopalakrishnan, Sandeep4 sandeep@uwm.edu, Yu, Zeyun1,5 yuz@uwm.edu
Publikováno v:
Scientific Reports. 12/14/2020, Vol. 10 Issue 1, p1-9. 9p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.