FUSegNet: A deep convolutional neural network for foot ulcer segmentation

Author:

Dhar Mrinal Kanti,Zhang Taiyu,Patel YashORCID,Gopalakrishnan Sandeep,Yu Zeyun

Publisher

Elsevier BV

Reference44 articles.

1. Chronic wounds: Evaluation and management;Bowers;Am. Fam. Physician,2020

2. Strategy for Treatment of Infected Diabetic Foot Ulcers;Chang;Acc. Chem. Res.,2021

3. The diabetic foot;Boulton;Medicine (united Kingdom),2019

4. Detect-and-Segment: A Deep Learning Approach to Automate Wound Image Segmentation;Scebba;Informatics in Medicine Unlocked,2022

5. An Economic Evaluation of the Impact, Cost, and Medicare Policy Implications of Chronic Nonhealing Wounds;Nussbaum;Value Health,2018

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4. Improving Limited Supervised Foot Ulcer Segmentation Using Cross-Domain Augmentation Strategies;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Detection of Foot-Ulcer from Digital Photographs using MobileNet Variants with Features Fusion;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

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