DFU-VGG, a Novel and Improved VGG-19 Network for Diabetic Foot Ulcer Classification-Reference-Cited by-同舟云学术

DFU-VGG, a Novel and Improved VGG-19 Network for Diabetic Foot Ulcer Classification

Published:2022-06-01 Issue: Volume: Page:
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Container-title:2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP)
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Author:

Santos Francisco¹,Santos Elineide¹,Vogado Luis Henrique¹,Ito Marcia²,Bianchi Andrea³,Tavares Joao Manuel⁴,Veras Rodrigo¹

Affiliation:

1. Universidade Federal do Piauí,Teresina,Brasil

2. Mestrado Profissional em Sistema Produtivo/CEETEPS,São Paulo,Brasil

3. Universidade Federal de Ouro Preto,Minas Gerais,Brasil

4. Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Universidade do Porto,Faculdade de Engenharia,Departamento de Engenharia Mecânica,Porto,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9854388/9854389/09854392.pdf?arnumber=9854392

Reference18 articles.

1. Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification

2. Do Better ImageNet Models Transfer Better?

3. Very deep convolutional networks for large-scale image recognition;simonyan;3rd International Conference on Learning Representations ICLR 2015 San Diego CA USA May 7-9 2015 Conference Track Proceedings,2015

4. Deep Residual Learning for Image Recognition

5. Rethinking the Inception Architecture for Computer Vision

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