NFU-Net: An Automated Framework for the Detection of Neurotrophic Foot Ulcer Using Deep Convolutional Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-022-10782-0.pdf
Reference38 articles.
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2. R Reardon, D Simring, B Kim, J Mortensen, D Williams, and A Leslie 2020 AJGP-05-2020-Focus-Reardon-Diabetic-Foot-Ulcer-WEB 49(5):250–255
3. P Saeedi et al. 2019Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract 157: 107843. https://doi.org/10.1016/j.diabres.2019.107843.
4. Ince P, Game FL, Jeffcoate WJ (2007) Rate of healing of neuropathic ulcers of the foot in diabetes and its relationship to ulcer duration and ulcer area. Diabetes Care 30(3):660–663. https://doi.org/10.2337/dc06-2043
5. Manickum P, Mashamba-Thompson T, Naidoo R, Ramklass S, Madiba T (2021) Knowledge and practice of diabetic foot care—A scoping review. Diabetes Metabolic Syndrome: Clin Res Rev 15(3):783–793. https://doi.org/10.1016/j.dsx.2021.03.030
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