Publisher
Springer International Publishing
Reference28 articles.
1. Amin, J., Sharif, M., Anjum, M.A., Khan, H.U., Malik, M.S.A., Kadry, S.: An integrated design for classification and localization of diabetic foot ulcer based on CNN and YOLOv2-DFU models. IEEE Access 8, 228586–228597 (2020). https://doi.org/10.1109/ACCESS.2020.3045732
2. Armstrong, D.G., Boulton, A.J.M., Bus, S.A.: Diabetic foot ulcers and their recurrence. New Engl. J. Med. 376(24), 2367–2375 (2017). https://doi.org/10.1056/NEJMra1615439
3. Bottou, L., Bousquet, O.: The tradeoffs of large scale learning. In: Platt, J., Koller, D., Singer, Y., Roweis, S. (eds.) Advances in Neural Information Processing Systems. vol. 20. Curran Associates, Inc. (2008). https://proceedings.neurips.cc/paper/2007/file/0d3180d672e08b4c5312dcdafdf6ef36-Paper.pdf
4. Brüngel, R., Friedrich, C.M.: DETR and YOLOv5: exploring performance and self-training for diabetic foot ulcer detection. In: 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), pp. 148–153, June 2021. https://doi.org/10.1109/CBMS52027.2021.00063, ISSN:2372-9198
5. Cassidy, B., et al.: The DFUC 2020 dataset: analysis towards diabetic foot ulcer detection. Touch Rev. Endocrinol. 17, 5–11 (2021). https://doi.org/10.17925/EE.2021.17.1.5
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献