Diabetic Foot Ulcers Classification using a fine-tuned CNNs Ensemble-Reference-Cited by-同舟云学术

Diabetic Foot Ulcers Classification using a fine-tuned CNNs Ensemble

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)
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Author:

Santos Elineide¹,Santos Francisco¹,Dallyson Joao²,Aires Kelson¹,Tavares Joao Manuel R. S.³,Veras Rodrigo¹

Affiliation:

1. Universidade Federal do Piauí,Departamento de Computação,Teresina,Brasil

2. Universidade Federal do Maranhão,Departamento de Informática,São Luís,Brasil

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

Funder

Fundação de Amparo à Pesquisa do Estado do Piauí (FAPEPI)

Universidade Federal do Piauí (UFPI)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866947/9866899/09866996.pdf?arnumber=9866996

Reference27 articles.

1. Convolutional nets versus vision transformers for diabetic foot ulcer classification;galdran;Lecture Notes in Computer Science,2021

2. Deep learning in diabetic foot ulcers detection: A comprehensive evaluation

3. Diabetic foot ulcer classification using mapped binary patterns and convolutional neural networks

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