A Deep Learning Approach for Automated Detection and Segmentation of Pressure Ulcers Using Infrared-Based Thermal Imaging-Reference-Cited by-同舟云学术

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A Deep Learning Approach for Automated Detection and Segmentation of Pressure Ulcers Using Infrared-Based Thermal Imaging

Published:2022-08-01 Issue:15 Volume:22 Page:14762-14768
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Pandey Bhaskar¹^ORCID,Joshi Deepak²^ORCID,Arora Ajat Shatru¹,Upadhyay Nekram³,Chhabra H. S.³^ORCID

Affiliation:

1. Department of Electrical and Instrumentation, Sant Longowal Institute of Engineering and Technology, Punjab, Longowal, India

2. Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India

3. Indian Spinal Injuries Centre, New Delhi, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9845438/09807647.pdf?arnumber=9807647

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A deep learning based experimental framework for automatic staging of pressure ulcers from thermal images;Quantitative InfraRed Thermography Journal;2024-08-16

2. Diagnosis of Pressure Ulcer Stage Using On-Device AI;Applied Sciences;2024-08-14

3. Sacral Ulcer Development Risk Among Older Adult Patients in North Texas Rehabilitation Hospitals: Role of Comorbidities, Lifestyle, and Personal Factors;Journal of Gerontological Nursing;2024-02

4. A Comprehensive Overview on Performance of Cascaded Three Tank Level System using Neural Network Predictive Controller;International Journal of Electrical and Electronics Research;2023-04-30

5. Pressure Ulcer Categorization and Reporting in Domiciliary Settings Using Deep Learning and Mobile Devices: A Clinical Trial to Evaluate End-to-End Performance;IEEE Access;2023

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