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Diabetic Foot Ulcers Grand Challenge

Overview of attention for book
Cover of 'Diabetic Foot Ulcers Grand Challenge'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    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 7: Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based Models
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Summary
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Chapter title
Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-Based Models
Chapter number 7
Book title
Diabetic Foot Ulcers Grand Challenge
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-26354-5_7
Book ISBNs
978-3-03-126353-8, 978-3-03-126354-5
Authors

Hassib, Mariam, Ali, Maram, Mohamed, Amina, Torki, Marwan, Hussein, Mohamed

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 100%
Readers by discipline Count As %
Engineering 1 100%

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