Computer-aided detection of Melanoma using geometric features
Melanoma is one type of skin cancer that usually develops from prolonged exposure to UV light. The latter triggers mutations that lead skin cells to multiply rapidly and form malignant tumors. If not cured, Melanoma can result in one's death. Hence, an early detection of this deadly cancer is i...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , , |
| التنسيق: | conferenceObject |
| منشور في: |
2017
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10725/5368 http://dx.doi.org/10.1109/MECBME.2016.7745423 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/7745423/ |
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| _version_ | 1864513465847119872 |
|---|---|
| author | Azar, Danielle |
| author2 | Moussa, Rebecca Gerges, Firas Salem, Christian Akiki, Romario Falou, Omar |
| author2_role | author author author author author |
| author_facet | Azar, Danielle Moussa, Rebecca Gerges, Firas Salem, Christian Akiki, Romario Falou, Omar |
| author_role | author |
| dc.creator.none.fl_str_mv | Azar, Danielle Moussa, Rebecca Gerges, Firas Salem, Christian Akiki, Romario Falou, Omar |
| dc.date.none.fl_str_mv | 2017-03-14T12:54:31Z 2017-03-14T12:54:31Z 2017-03-14 |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/5368 http://dx.doi.org/10.1109/MECBME.2016.7745423 Moussa, R., Gerges, F., Salem, C., Akiki, R., Falou, O., & Azar, D. (2016, October). Computer-aided detection of Melanoma using geometric features. In Biomedical Engineering (MECBME), 2016 3rd Middle East Conference on (pp. 125-128). IEEE. http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/7745423/ |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.title.none.fl_str_mv | Computer-aided detection of Melanoma using geometric features |
| dc.type.none.fl_str_mv | Conference Paper / Proceeding info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject |
| description | Melanoma is one type of skin cancer that usually develops from prolonged exposure to UV light. The latter triggers mutations that lead skin cells to multiply rapidly and form malignant tumors. If not cured, Melanoma can result in one's death. Hence, an early detection of this deadly cancer is important to prevent it. Certain lesion characteristics such as Asymmetry, Border, Color and Diameter segmentation (ABCD rule), can indicate the presence of Melanoma. In this work, we investigate the use of geometric features to differentiate between a benign lesion and a malignant one. The k-Nearest Neighbors (k-NN) machine learning algorithm is used to classify 15 lesions based on their ABD features. An accuracy of 89% was obtained on the testing set. The results indicate that this technique may be used to detect Melanoma skin cancer. |
| eu_rights_str_mv | openAccess |
| format | conferenceObject |
| id | LAURepo_edf9b2f8ce54c0ee1f3b5293b7fa7941 |
| identifier_str_mv | Moussa, R., Gerges, F., Salem, C., Akiki, R., Falou, O., & Azar, D. (2016, October). Computer-aided detection of Melanoma using geometric features. In Biomedical Engineering (MECBME), 2016 3rd Middle East Conference on (pp. 125-128). IEEE. |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/5368 |
| publishDate | 2017 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Computer-aided detection of Melanoma using geometric featuresAzar, DanielleMoussa, RebeccaGerges, FirasSalem, ChristianAkiki, RomarioFalou, OmarMelanoma is one type of skin cancer that usually develops from prolonged exposure to UV light. The latter triggers mutations that lead skin cells to multiply rapidly and form malignant tumors. If not cured, Melanoma can result in one's death. Hence, an early detection of this deadly cancer is important to prevent it. Certain lesion characteristics such as Asymmetry, Border, Color and Diameter segmentation (ABCD rule), can indicate the presence of Melanoma. In this work, we investigate the use of geometric features to differentiate between a benign lesion and a malignant one. The k-Nearest Neighbors (k-NN) machine learning algorithm is used to classify 15 lesions based on their ABD features. An accuracy of 89% was obtained on the testing set. The results indicate that this technique may be used to detect Melanoma skin cancer.N/AIEEE2017-03-14T12:54:31Z2017-03-14T12:54:31Z2017-03-14Conference Paper / Proceedinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10725/5368http://dx.doi.org/10.1109/MECBME.2016.7745423Moussa, R., Gerges, F., Salem, C., Akiki, R., Falou, O., & Azar, D. (2016, October). Computer-aided detection of Melanoma using geometric features. In Biomedical Engineering (MECBME), 2016 3rd Middle East Conference on (pp. 125-128). IEEE.http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.phphttp://ieeexplore.ieee.org/abstract/document/7745423/eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/53682021-03-19T10:03:24Z |
| spellingShingle | Computer-aided detection of Melanoma using geometric features Azar, Danielle |
| status_str | publishedVersion |
| title | Computer-aided detection of Melanoma using geometric features |
| title_full | Computer-aided detection of Melanoma using geometric features |
| title_fullStr | Computer-aided detection of Melanoma using geometric features |
| title_full_unstemmed | Computer-aided detection of Melanoma using geometric features |
| title_short | Computer-aided detection of Melanoma using geometric features |
| title_sort | Computer-aided detection of Melanoma using geometric features |
| url | http://hdl.handle.net/10725/5368 http://dx.doi.org/10.1109/MECBME.2016.7745423 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://ieeexplore.ieee.org/abstract/document/7745423/ |