A Mobile App for Wound Localization Using Deep Learning-Reference-Cited by-同舟云学术

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A Mobile App for Wound Localization Using Deep Learning

Published:2022 Issue: Volume:10 Page:61398-61409
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Anisuzzaman D. M.¹^ORCID,Patel Yash¹,Niezgoda Jeffrey A.²,Gopalakrishnan Sandeep³,Yu Zeyun¹

Affiliation:

1. Department of Computer Science, University of Wisconsin–Milwaukee, Milwaukee, WI, USA

2. Advancing the Zenith of Healthcare (AZH) Wound and Vascular Center, Milwaukee, WI, USA

3. College of Nursing, University of Wisconsin–Milwaukee, Milwaukee, WI, USA

Funder

Discovery and Innovation Grant (DIG) Award

Catalyst Grant Program at the University of Wisconsin–Milwaukee

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/ielx7/6287639/9668973/09785640.pdf?arnumber=9785640

Reference46 articles.

1. Deep learning approach to peripheral leukocyte recognition

2. YOLOv3: An incremental improvement;redmon;arXiv 1804 02767,2018

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2. Characteristics of Digital Health Platforms for Wound Management: Content Analysis Through Systematic Review and Search of App Stores (Preprint);2024-04-01

3. Integrated image and location analysis for wound classification: a deep learning approach;Scientific Reports;2024-03-25

4. Region-Based Semi-Two-Stream Convolutional Neural Networks for Pressure Ulcer Recognition;Journal of Imaging Informatics in Medicine;2024-01-12

5. On Deploying Mobile Deep Learning to Segment COVID-19 PCR Test Tube Images;Lecture Notes in Computer Science;2024

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