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Diabetic Foot Ulcers Grand Challenge

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Cover of 'Diabetic Foot Ulcers Grand Challenge'

Table of Contents

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    Book Overview
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    Chapter 1 Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification
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    Chapter 2 HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MSEG for Diabetic Foot Ulcer Image Segmentation
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    Chapter 3 OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss
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    Chapter 4 On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness
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    Chapter 5 Capture the Devil in the Details via Partition-then-Ensemble on Higher Resolution Images
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    Chapter 6 Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension
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    Chapter 7 Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based Models
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    Chapter 8 Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation
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    Chapter 9 DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection
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    Chapter 10 Diabetic Foot Ulcer Grand Challenge 2022 Summary
Attention for Chapter 1: Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification
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  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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