This book constitutes the Third Diabetic Foot Ulcers Grand Challenge, DFUC 2022, which was held on September 2022, in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 in Singapore. The 8 full papers presented together with 5 challenge papers and 3 post-challenge papers included in this book were carefully reviewed and selected from 19 submissions.
The DFU challenges aim to motivate the health care domain to share datasets, participate in ground truth annotation, and enable data-innovation in computer algorithm development. In the longer term, it will lead to improved patient care.
Table of Contents:
Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification
HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MSEG for Diabetic Foot Ulcer Image Segmentation
OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness
Capture the Devil in the Details via Partition-then-Ensemble on Higher Resolution Images
Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension
Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based Models
Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation
DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection
Diabetic Foot Ulcer Grand Challenge 2022 Summary
