Computer aided detection of diabetic foot ulcer using asymmetry analysis of texture and temperature features-Reference-Cited by-同舟云学术

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Computer aided detection of diabetic foot ulcer using asymmetry analysis of texture and temperature features

Published:2020-03 Issue: Volume:105 Page:103219
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Saminathan J.,Sasikala M.,Narayanamurthy VB.,Rajesh K.,Arvind R.

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference38 articles.

1. Diagnosis and classification of diabetes mellitus;American Diabetes Association;Diabetes Care,2014

2. Rafael Couto and Nuno M Garcia;Sousa,2015

3. Vilcahuaman L and Bello Y, Detection of Diabetic Foot Hyperthermia by using a regionalization method, based;Liu,2016

4. Screening for osteomyelitis using thermography in patients with diabetic foot;Oe;Ulcers,2013

5. Diabetic foot ulcer mobile detection system using smart phone thermal camera: a feasibility study;Fraiwan;Biomed. Eng. Online,2016

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2. PFUTnet: A Novel Deep Learning Architecture for Diabetic Foot Severity Mapping and Analysis;IEEE Sensors Journal;2024-05-01

3. Improving Automated PSN Assessment in Type 2 Diabetes: A Study on Plantar Lesion Recognition and Probe Avoidance Techniques;IEEE Access;2024

4. Implementation of a Pattern Classifier on Thermograms from Plantar Region;IFMBE Proceedings;2024

5. State-of-the-Art Features for Early-Stage Detection of Diabetic Foot Ulcers Based on Thermograms;Biomedicines;2023-12-02

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