A Model for Diagnosing Breast Cancerous Tissue from Thermal Images Using Active Contour and Lyapunov Exponent
Background: The segmentation of cancerous areas in breast images is important for the early detection of disease. Thermal imaging has advantages, such as being non-invasive, non-radiation, passive, quick, painless, inexpensive, and non-contact. Imaging technique is the focus of this research. Metho...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tehran University of Medical Sciences
2016-05-01
|
| Series: | Iranian Journal of Public Health |
| Subjects: | |
| Online Access: | https://ijph.tums.ac.ir/index.php/ijph/article/view/6802 |
| _version_ | 1818870679376756736 |
|---|---|
| author | Hossein GHAYOUMI ZADEH Javad HADDADNIA Alimohammad MONTAZERI |
| author_facet | Hossein GHAYOUMI ZADEH Javad HADDADNIA Alimohammad MONTAZERI |
| author_sort | Hossein GHAYOUMI ZADEH |
| collection | DOAJ |
| description | Background: The segmentation of cancerous areas in breast images is important for the early detection of disease. Thermal imaging has advantages, such as being non-invasive, non-radiation, passive, quick, painless, inexpensive, and non-contact. Imaging technique is the focus of this research.
Methods: The proposed model in this paper is a combination of surf and corners that are very resistant. Obtained features are resistant to changes in rotation and revolution then with the help of active contours, this feature has been used for segmenting cancerous areas.
Results: Comparing the obtained results from the proposed method and mammogram show that proposed method is Accurate and appropriate. Benign and malignance of segmented areas are detected by Lyapunov exponent. Values obtained include TP=91.31%, FN=8.69%, FP=7.26%.
Conclusion: The proposed method can classify those abnormally segmented areas of the breast, to the Benign and malignant cancer. |
| first_indexed | 2024-12-19T12:10:51Z |
| format | Article |
| id | doaj.art-bf0a3935e07f4fa1a6e4714f28c51272 |
| institution | Directory Open Access Journal |
| issn | 2251-6085 2251-6093 |
| language | English |
| last_indexed | 2024-12-19T12:10:51Z |
| publishDate | 2016-05-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Iranian Journal of Public Health |
| spelling | doaj.art-bf0a3935e07f4fa1a6e4714f28c512722022-12-21T20:22:11ZengTehran University of Medical SciencesIranian Journal of Public Health2251-60852251-60932016-05-014554908A Model for Diagnosing Breast Cancerous Tissue from Thermal Images Using Active Contour and Lyapunov ExponentHossein GHAYOUMI ZADEH0Javad HADDADNIA1Alimohammad MONTAZERI2Dept. of Biomedical Engineering, Hakim Sabzevari University, Sabzevar, IranDept. of Biomedical Engineering, Hakim Sabzevari University, Sabzevar, IranDept. of Biomedical Engineering, Hakim Sabzevari University, Sabzevar, IranBackground: The segmentation of cancerous areas in breast images is important for the early detection of disease. Thermal imaging has advantages, such as being non-invasive, non-radiation, passive, quick, painless, inexpensive, and non-contact. Imaging technique is the focus of this research. Methods: The proposed model in this paper is a combination of surf and corners that are very resistant. Obtained features are resistant to changes in rotation and revolution then with the help of active contours, this feature has been used for segmenting cancerous areas. Results: Comparing the obtained results from the proposed method and mammogram show that proposed method is Accurate and appropriate. Benign and malignance of segmented areas are detected by Lyapunov exponent. Values obtained include TP=91.31%, FN=8.69%, FP=7.26%. Conclusion: The proposed method can classify those abnormally segmented areas of the breast, to the Benign and malignant cancer.https://ijph.tums.ac.ir/index.php/ijph/article/view/6802Breast cancerSurf and sift algorithmActive contourThermography |
| spellingShingle | Hossein GHAYOUMI ZADEH Javad HADDADNIA Alimohammad MONTAZERI A Model for Diagnosing Breast Cancerous Tissue from Thermal Images Using Active Contour and Lyapunov Exponent Iranian Journal of Public Health Breast cancer Surf and sift algorithm Active contour Thermography |
| title | A Model for Diagnosing Breast Cancerous Tissue from Thermal Images Using Active Contour and Lyapunov Exponent |
| title_full | A Model for Diagnosing Breast Cancerous Tissue from Thermal Images Using Active Contour and Lyapunov Exponent |
| title_fullStr | A Model for Diagnosing Breast Cancerous Tissue from Thermal Images Using Active Contour and Lyapunov Exponent |
| title_full_unstemmed | A Model for Diagnosing Breast Cancerous Tissue from Thermal Images Using Active Contour and Lyapunov Exponent |
| title_short | A Model for Diagnosing Breast Cancerous Tissue from Thermal Images Using Active Contour and Lyapunov Exponent |
| title_sort | model for diagnosing breast cancerous tissue from thermal images using active contour and lyapunov exponent |
| topic | Breast cancer Surf and sift algorithm Active contour Thermography |
| url | https://ijph.tums.ac.ir/index.php/ijph/article/view/6802 |
| work_keys_str_mv | AT hosseinghayoumizadeh amodelfordiagnosingbreastcanceroustissuefromthermalimagesusingactivecontourandlyapunovexponent AT javadhaddadnia amodelfordiagnosingbreastcanceroustissuefromthermalimagesusingactivecontourandlyapunovexponent AT alimohammadmontazeri amodelfordiagnosingbreastcanceroustissuefromthermalimagesusingactivecontourandlyapunovexponent AT hosseinghayoumizadeh modelfordiagnosingbreastcanceroustissuefromthermalimagesusingactivecontourandlyapunovexponent AT javadhaddadnia modelfordiagnosingbreastcanceroustissuefromthermalimagesusingactivecontourandlyapunovexponent AT alimohammadmontazeri modelfordiagnosingbreastcanceroustissuefromthermalimagesusingactivecontourandlyapunovexponent |