A new approach of oral cancer detection using bilateral texture features in digital infrared thermal images

2016 ◽  
Author(s):  
M. Chakraborty ◽  
S. Mukhopadhyay ◽  
A. Dasgupta ◽  
S. Patsa ◽  
N. Anjum ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Cancer Detection ◽  
Texture Features ◽  
New Approach ◽  
Thermal Images ◽  
Infrared Thermal Images

scholarly journals Facial Paralysis Detection in Infrared Thermal Images Using Asymmetry Analysis of Temperature and Texture Features

Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2309
Author(s):  
Xulong Liu ◽  
Yanli Wang ◽  
Jingmin Luan
Keyword(s):  
Temperature Distribution ◽  
Early Diagnosis ◽  
Facial Paralysis ◽  
Texture Feature ◽  
Texture Features ◽  
Healthy People ◽  
Support Vector ◽  
Thermal Images ◽  
Asymmetry Analysis ◽  
Infrared Thermal Images

Facial temperature distribution in healthy people shows contralateral symmetry, which is generally disrupted by facial paralysis. This study aims to develop a quantitative thermal asymmetry analysis method for early diagnosis of facial paralysis in infrared thermal images. First, to improve the reliability of thermal image analysis, the facial regions of interest (ROIs) were segmented using corner and edge detection. A new temperature feature was then defined using the maximum and minimum temperature, and it was combined with the texture feature to represent temperature distribution of facial ROIs. Finally, Minkowski distance was used to measure feature symmetry of bilateral ROIs. The feature symmetry vectors were input into support vector machine to evaluate the degree of facial thermal symmetry. The results showed that there were significant differences in thermal symmetry between patients with facial paralysis and healthy people. The accuracy of the proposed method for early diagnosis of facial paralysis was 0.933, and the area under the ROC curve was 0.947. In conclusion, temperature and texture features can effectively quantify thermal asymmetry caused by facial paralysis, and the application of machine learning in early detection of facial paralysis in thermal images is feasible.

Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine

2010 ◽  
Vol 36 (3) ◽  
pp. 1503-1510 ◽  
Author(s):  
U. Rajendra Acharya ◽  
E. Y. K. Ng ◽  
Jen-Hong Tan ◽  
S. Vinitha Sree
Keyword(s):  
Breast Cancer ◽  
Support Vector Machine ◽  
Cancer Detection ◽  
Texture Features ◽  
Breast Cancer Detection ◽  
Support Vector

A new paradigm of oral cancer detection using digital infrared thermal imaging

2016 ◽  
Author(s):  
M. Chakraborty ◽  
S. Mukhopadhyay ◽  
A. Dasgupta ◽  
S. Banerjee ◽  
S. Mukhopadhyay ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Cancer Detection ◽  
Thermal Imaging ◽  
New Paradigm ◽  
Infrared Thermal Imaging
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