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Steps Towards Intelligent Diabetic Foot Ulcer Follow-Up Based On Deep Learning

AuthID
P-00Z-218

Author(s)

Chaves, A

Sousa, R

Abelha, A

Peixoto, H

Editor(s)

Machado,JM;Peixoto,H

Document Type

Proceedings Paper

Year published

2023

Published

in Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN: 1867-8211

Volume: 485 LNICST, Pages: 81-90 (9)

Conference

3Rd International Conference on Ai-Assisted Solutions for Covid-19 and Biometrical Applications in Smart Cities, Aiscovid-19 2022, Date: 16 November 2022 through 18 November 2022, Location: Braga

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Publication Identifiers

DOI: 10.1007/978-3-031-38204-8_7

SCOPUS: 2-s2.0-85172732208

Source Identifiers

ISSN: 1867-8211

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Steps Towards Intelligent Diabetic Foot Ulcer Follow-Up Based On Deep Learning

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Steps Towards Intelligent Diabetic Foot Ulcer Follow-Up Based On Deep Learning

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