Abstract is missing.
- Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer ClassificationImran Chowdhury Dipto, Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Vishnu Chandrabalan, Moi Hoon Yap. 1-18 [doi]
- HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MSEG for Diabetic Foot Ulcer Image SegmentationTing-Yu Liao, Ching-Hui Yang, Yu-Wen Lo, Kuan-Ying Lai, Po-Huai Shen, Youn-Long Lin. 21-30 [doi]
- OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge LossHuahui Yi, Wei Xu, Zekun Jiang, Jun Gao, Qingbo Kang, Qicheng Lao, Kang Li 0004. 31-39 [doi]
- On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution RobustnessAdrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester. 40-51 [doi]
- Capture the Devil in the Details via Partition-then-Ensemble on Higher Resolution ImagesYung-Han Chen, Yi-Jen Ju, Juinn-Dar Huang. 52-64 [doi]
- Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset ExtensionRaphael Brüngel, Sven Koitka, Christoph M. Friedrich. 65-79 [doi]
- Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based ModelsMariam Hassib, Maram Ali, Amina Mohamed, Marwan Torki, Mohamed Hussein. 83-91 [doi]
- Refined Mixup Augmentation for Diabetic Foot Ulcer SegmentationDavid Jozef Hresko, Jakub Vereb, Valentin Krigovsky, Michala Gayova, Peter Drotár. 92-100 [doi]
- DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based DetectionDariusz Kucharski, Aleksander Kostuch, Filip Noworolnik, Andrzej Brodzicki, Joanna Jaworek-Korjakowska. 101-112 [doi]
- Diabetic Foot Ulcer Grand Challenge 2022 SummaryConnah Kendrick, Bill Cassidy, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Vishnu Chandrabalan, Moi Hoon Yap. 115-123 [doi]