Abstract is missing.
- Development of Diabetic Foot Ulcer Datasets: An OverviewMoi Hoon Yap, Connah Kendrick, Neil D. Reeves, Manu Goyal, Joseph M. Pappachan, Bill Cassidy. 1-18 [doi]
- Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer ClassificationAdrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester. 21-29 [doi]
- Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot UlcersLouise Bloch, Raphael Brüngel, Christoph M. Friedrich. 30-49 [doi]
- Bias Adjustable Activation Network for Imbalanced Data - Diabetic Foot Ulcer Challenge 2021Salman Ahmed, Hammad Naveed. 50-61 [doi]
- Efficient Multi-model Vision Transformer Based on Feature Fusion for Classification of DFUC2021 ChallengeAbdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Mériaudeau. 62-75 [doi]
- Classification of Infection and Ischemia in Diabetic Foot Ulcers Using VGG ArchitecturesOrhun Güley, Sarthak Pati, Spyridon Bakas. 76-89 [doi]
- Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and SummaryBill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, David G. Armstrong, Moi Hoon Yap. 90-105 [doi]
- Deep Subspace Analysing for Semi-supervised Multi-label Classification of Diabetic Foot UlcerAzadeh Alavi, Hossein Akhoundi. 109-120 [doi]