Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks-Reference-Cited by-同舟云学术

Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Conference on Pattern Recognition (ICPR)
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Author:

Mahbod Amirreza¹,Schaefer Gerald²,Ecker Rupert³,Ellinger Isabella¹

Affiliation:

1. Medical University of Vienna,Institute for Pathophysiology and Allergy Research,Vienna,Austria

2. Loughborough University,Department of Computer Science,Loughborough,United Kingdom

3. TissueGnostics GmbH,Research and Development Department,Vienna,Austria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956253.pdf?arnumber=9956253

Reference29 articles.

1. Fully automatic wound segmentation with deep convolutional neural networks

2. Automatic segmentation of diabetic foot ulcer from mask region-based convolutional neural networks;muñoz;Journal of Biomedical Research and Clinical Investigation,2020

3. Semantic Segmentation of Diabetic Foot Ulcer Images: Dealing with Small Dataset in DL Approaches

4. The effects of skin lesion segmentation on the performance of dermatoscopic image classification

5. CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images

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