DFU-SIAM a Novel Diabetic Foot Ulcer Classification With Deep Learning-Reference-Cited by-同舟云学术

DFU-SIAM a Novel Diabetic Foot Ulcer Classification With Deep Learning

Published:2023 Issue: Volume:11 Page:98315-98332
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Toofanee Mohammud Shaad Ally¹^ORCID,Dowlut Sabeena²^ORCID,Hamroun Mohamed¹^ORCID,Tamine Karim¹,Petit Vincent²^ORCID,Duong Anh Kiet³,Sauveron Damien¹^ORCID

Affiliation:

1. Department of Computer Science, XLIM, UMR CNRS 7252, University of Limoges, Limoges, France

2. Applied Computer Science Department, Université des Mascareignes, Roches Brunes, Beau Bassin-Rose Hill, Mauritius

3. Faculty of Science and Technology, University of Limoges, Limoges, France

Funder

XLIM Laboratory of University of Limoges

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10242064.pdf?arnumber=10242064

Reference86 articles.

1. Managing diabetes in the digital age

2. Diabetic foot ulcer detection using deep learning approaches

3. AI in Healthcare: Ethical and Privacy Challenges

4. Diabetic Foot Ulcers Classification using a fine-tuned CNNs Ensemble

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