Volume 6, Issue 4 (Volume 6, Number 4 2016)                   jdc 2016, 6(4): 221-226 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Valipoori Goodarzi F, Haddadnia J, Hashemiyan M. Diagnosis of malignant melanoma based on tissue changes in spatial thermography images. jdc. 2016; 6 (4) :221-226
URL: http://jdc.tums.ac.ir/article-1-5161-en.html
1- Department of Electrical and Computer Engineering, Hakim Sabzevari University, Sabzevar, Iran , fatemeh.goodarzi10@gmail.com
2- Department of Electrical and Computer Engineering, Hakim Sabzevari University, Sabzevar, Iran
3- School of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran
Abstract:   (5939 Views)

Background and Aim: Malignant melanoma is one of the most dangerous types of skin cancer. The aim of this study was to evaluate Spatial Thermographic Imaging (STI) in differentiating benign from malignant skin lesions.

Methods: One-hundred and ten STI images were taken from the volunteers who had lesions being suspected for malignant melanoma. Benignity or malignancy of lesions was determined according to the changes detected in tissue using texture filters. The STI data were compared with histopathology results.

Results: Out of 110 investigated patients with STI, three cases of malignant melanoma were found. Two cases were in men and the other one was in a woman. Accuracy of STI in diagnosis of malignant melanoma was 98%.

Conclusion: STI may potentially be used as a non-invasive method for the detecting skin malignant melanoma.

Full-Text [PDF 482 kb]   (2658 Downloads)    
Type of Study: Research | Subject: Special
Received: 2016/03/14 | Accepted: 2016/03/14 | Published: 2016/03/14

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 , Tehran University of Medical Sciences, CC BY-NC 4.0

Designed & Developed by : Yektaweb