An image processing and genetic algorithm-based approach for the detection of melanoma in patients
Melanoma skin cancer is the most aggressive type of skin cancer. It is most commonly caused by excessive exposure to Ultraviolet radiation which triggers uncontrollable proliferation of melanocytes. Early detection makes melanoma relatively easily curable. Diagnosis is usually done using traditional...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2018
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/8099 http://dx.doi.org/10.3412/ME17-01-0061 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.thieme-connect.com/products/ejournals/abstract/10.3412/ME17-01-0061 |
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| _version_ | 1864513483871092736 |
|---|---|
| author | Tokajian, Sima |
| author2 | Azar, Danielle Salem, Christian |
| author2_role | author author |
| author_facet | Tokajian, Sima Azar, Danielle Salem, Christian |
| author_role | author |
| dc.creator.none.fl_str_mv | Tokajian, Sima Azar, Danielle Salem, Christian |
| dc.date.none.fl_str_mv | 2018-06-26T09:18:32Z 2018-06-26T09:18:32Z 2018 2018-06-26 |
| dc.identifier.none.fl_str_mv | 0026-1270 http://hdl.handle.net/10725/8099 http://dx.doi.org/10.3412/ME17-01-0061 Salem, C., Azar, D., & Tokajian, S. (2018). An Image Processing and Genetic Algorithm-based Approach for the Detection of Melanoma in Patients. Methods of information in medicine, 57(01), 74-80. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.thieme-connect.com/products/ejournals/abstract/10.3412/ME17-01-0061 |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | Methods of Information in Medicine |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | An image processing and genetic algorithm-based approach for the detection of melanoma in patients |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Melanoma skin cancer is the most aggressive type of skin cancer. It is most commonly caused by excessive exposure to Ultraviolet radiation which triggers uncontrollable proliferation of melanocytes. Early detection makes melanoma relatively easily curable. Diagnosis is usually done using traditional methods such as dermoscopy which consists of a manual examination performed by the physician. However, these methods are not always well founded because they depend heavily on the physician’s experience. Hence, there is a great need for a new automated approach in order to make diagnosis more reliable. In this paper, we present a twophase technique to classify images of lesions into benign or malignant. The first phase consists of an image processing-based method that extracts the Asymmetry, Border Irregularity, Color Variation and Diameter of a given mole. The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | LAURepo_e5ffee950bf5d10b44cdf9614aeac432 |
| identifier_str_mv | 0026-1270 Salem, C., Azar, D., & Tokajian, S. (2018). An Image Processing and Genetic Algorithm-based Approach for the Detection of Melanoma in Patients. Methods of information in medicine, 57(01), 74-80. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/8099 |
| publishDate | 2018 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | An image processing and genetic algorithm-based approach for the detection of melanoma in patientsTokajian, SimaAzar, DanielleSalem, ChristianMelanoma skin cancer is the most aggressive type of skin cancer. It is most commonly caused by excessive exposure to Ultraviolet radiation which triggers uncontrollable proliferation of melanocytes. Early detection makes melanoma relatively easily curable. Diagnosis is usually done using traditional methods such as dermoscopy which consists of a manual examination performed by the physician. However, these methods are not always well founded because they depend heavily on the physician’s experience. Hence, there is a great need for a new automated approach in order to make diagnosis more reliable. In this paper, we present a twophase technique to classify images of lesions into benign or malignant. The first phase consists of an image processing-based method that extracts the Asymmetry, Border Irregularity, Color Variation and Diameter of a given mole. The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.PublishedN/A2018-06-26T09:18:32Z2018-06-26T09:18:32Z20182018-06-26Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article0026-1270http://hdl.handle.net/10725/8099http://dx.doi.org/10.3412/ME17-01-0061Salem, C., Azar, D., & Tokajian, S. (2018). An Image Processing and Genetic Algorithm-based Approach for the Detection of Melanoma in Patients. Methods of information in medicine, 57(01), 74-80.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttps://www.thieme-connect.com/products/ejournals/abstract/10.3412/ME17-01-0061enMethods of Information in Medicineinfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/80992021-03-19T10:43:08Z |
| spellingShingle | An image processing and genetic algorithm-based approach for the detection of melanoma in patients Tokajian, Sima |
| status_str | publishedVersion |
| title | An image processing and genetic algorithm-based approach for the detection of melanoma in patients |
| title_full | An image processing and genetic algorithm-based approach for the detection of melanoma in patients |
| title_fullStr | An image processing and genetic algorithm-based approach for the detection of melanoma in patients |
| title_full_unstemmed | An image processing and genetic algorithm-based approach for the detection of melanoma in patients |
| title_short | An image processing and genetic algorithm-based approach for the detection of melanoma in patients |
| title_sort | An image processing and genetic algorithm-based approach for the detection of melanoma in patients |
| url | http://hdl.handle.net/10725/8099 http://dx.doi.org/10.3412/ME17-01-0061 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://www.thieme-connect.com/products/ejournals/abstract/10.3412/ME17-01-0061 |