The DFUC 2020 Dataset: Analysis Towards Diabetic Foot Ulcer Detection-Reference-Cited by-同舟云学术

The DFUC 2020 Dataset: Analysis Towards Diabetic Foot Ulcer Detection

Published:2021 Issue:1 Volume:1 Page:5
ISSN:1758-3772
Container-title:European Endocrinology
language:en
Short-container-title:

Author:

Cassidy Bill,Reeves Neil D,Pappachan Joseph M,Gillespie David,O'Shea Claire,Rajbhandari Satyan,Maiya Arun G,Frank Eibe,Boulton Andrew JM,Armstrong David G,Najafi Bijan,Wu Justina,Kochhar Rupinder Singh,Yap Moi Hoon, , , , , , , , , , , , , , , ,

Abstract

Funder

This article is published under the Creative Commons Attribution Non-commercial License.

Publisher

Touch Medical Media, Ltd.

Subject

Endocrine and Autonomic Systems,Endocrinology,Endocrinology, Diabetes and Metabolism

Reference28 articles.

1. Soo BP, Rajbhandari S, Egun A, et al. Survival at 10 years following lower extremity amputations in patients with diabetic foot disease. Endocrine. 2020;69:100–6.

2. Wang C, Yan X, Smith M, et al. A unified framework for automatic wound segmentation and analysis with deep convolutional neural networks. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:2415–8.

3. Goyal M, Yap MH, Reeves ND, et al. Fully convolutional networks for diabetic foot ulcer segmentation. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, Canada: IEEE 2017, 2017;618–23.

4. Goyal M, Reeves ND, Davison AK, et al. DFUNet: Convolutional neural networks for diabetic foot ulcer classification. IEEE Trans Emerg Top Comput Intell. 2020;4:728–39.

5. Goyal M, Reeves ND, Rajbhandari S, et al. Recognition of ischaemia and infection in diabetic foot ulcers: dataset and techniques. Comput Biol Med. 2020;117:103616.

Cited by 49 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

1. Classification of Diabetic Foot Ulcers from Images Using Machine Learning Approach;Diagnostics;2024-08-19

2. Channel Attention Based on ResNet-50 Model for Image Classification of DFUs Using CNN;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

3. Smart diabetic foot ulcer scoring system;Scientific Reports;2024-05-21

4. Diabetic foot ulcers segmentation challenge report: Benchmark and analysis;Medical Image Analysis;2024-05

5. Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization;Cognitive Computation;2024-04-01