Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary

Author:

Cassidy BillORCID,Kendrick ConnahORCID,Reeves Neil D.ORCID,Pappachan Joseph M.ORCID,O’Shea Claire,Armstrong David G.ORCID,Yap Moi HoonORCID

Publisher

Springer International Publishing

Reference38 articles.

1. Armstrong, D.G., Boulton, A.J.M., Bus, S.A.: Diabetic foot ulcers and their recurrence. N. Engl. J. Med. 376(24), 2367–2375 (2017)

2. Boulton, A.J.M., et al.: Diagnosis and management of diabetic foot complications (2019)

3. Wang, C., et al.: A unified framework for automatic wound segmentation and analysis with deep convolutional neural networks. In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, pp. 2415–2418. IEEE (2015)

4. Goyal, M., Yap, M.H., Reeves, N.D., Rajbhandari, S., Spragg, J.: Fully convolutional networks for diabetic foot ulcer segmentation. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 618–623, October 2017

5. Goyal, M., Reeves, N.D., Davison, A.K., Rajbhandari, S., Spragg, J., Yap, M.H.: DFUNet: convolutional neural networks for diabetic foot ulcer classification. IEEE Trans. Emerg. Top. Comput. Intell. 4, 1–12 (2018)

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