Diagnosis of Malignant Melanoma of Skin Cancer Types
Malignant melanoma is a kind of skin cancer that begins in melanocytes. It can influence on the skin only, or it may expand to the bones and organs. It is less common, but more serious and aggressive than other types of skin cancer. Malignant Melanoma can happen anywhere on the skin, but it is wides...
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Universidad Internacional de La Rioja (UNIR)
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doaj-196ab0b1f5de47b980d74cfb22c29d242020-11-24T23:37:05ZengUniversidad Internacional de La Rioja (UNIR)International Journal of Interactive Multimedia and Artificial Intelligence1989-16601989-16602017-08-0145444910.9781/ijimai.2017.459ijimai.2017.459Diagnosis of Malignant Melanoma of Skin Cancer TypesAbbas Hassin AlasadiBaidaa AlsafyMalignant melanoma is a kind of skin cancer that begins in melanocytes. It can influence on the skin only, or it may expand to the bones and organs. It is less common, but more serious and aggressive than other types of skin cancer. Malignant Melanoma can happen anywhere on the skin, but it is widespread in certain locations such as the legs in women, the back and chest in men, the face, the neck, mouth, eyes, and genitals. In this paper, a proposed algorithm is designed for diagnosing malignant melanoma types by using digital image processing techniques. The algorithm consists of four steps: preprocessing, separation, features extraction, and diagnosis. A neural network (NN) used to diagnosis malignant melanoma types. The total accuracy of the neural network was 100% for training and 93% for testing. The evaluation of the algorithm is done by using sensitivity, specificity, and accuracy. The sensitivity of NN in diagnosing malignant melanoma types was 95.6%, while the specificity was 92.2% and the accuracy was 93.9%. The experimental results are acceptable.http://www.ijimai.org/journal/node/1499CancerDiagnosisFeature ExtractionMedicineMelanomaSegmentation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abbas Hassin Alasadi Baidaa Alsafy |
spellingShingle |
Abbas Hassin Alasadi Baidaa Alsafy Diagnosis of Malignant Melanoma of Skin Cancer Types International Journal of Interactive Multimedia and Artificial Intelligence Cancer Diagnosis Feature Extraction Medicine Melanoma Segmentation |
author_facet |
Abbas Hassin Alasadi Baidaa Alsafy |
author_sort |
Abbas Hassin Alasadi |
title |
Diagnosis of Malignant Melanoma of Skin Cancer Types |
title_short |
Diagnosis of Malignant Melanoma of Skin Cancer Types |
title_full |
Diagnosis of Malignant Melanoma of Skin Cancer Types |
title_fullStr |
Diagnosis of Malignant Melanoma of Skin Cancer Types |
title_full_unstemmed |
Diagnosis of Malignant Melanoma of Skin Cancer Types |
title_sort |
diagnosis of malignant melanoma of skin cancer types |
publisher |
Universidad Internacional de La Rioja (UNIR) |
series |
International Journal of Interactive Multimedia and Artificial Intelligence |
issn |
1989-1660 1989-1660 |
publishDate |
2017-08-01 |
description |
Malignant melanoma is a kind of skin cancer that begins in melanocytes. It can influence on the skin only, or it may expand to the bones and organs. It is less common, but more serious and aggressive than other types of skin cancer. Malignant Melanoma can happen anywhere on the skin, but it is widespread in certain locations such as the legs in women, the back and chest in men, the face, the neck, mouth, eyes, and genitals. In this paper, a proposed algorithm is designed for diagnosing malignant melanoma types by using digital image processing techniques. The algorithm consists of four steps: preprocessing, separation, features extraction, and diagnosis. A neural network (NN) used to diagnosis malignant melanoma types. The total accuracy of the neural network was 100% for training and 93% for testing. The evaluation of the algorithm is done by using sensitivity, specificity, and accuracy. The sensitivity of NN in diagnosing malignant melanoma types was 95.6%, while the specificity was 92.2% and the accuracy was 93.9%. The experimental results are acceptable. |
topic |
Cancer Diagnosis Feature Extraction Medicine Melanoma Segmentation |
url |
http://www.ijimai.org/journal/node/1499 |
work_keys_str_mv |
AT abbashassinalasadi diagnosisofmalignantmelanomaofskincancertypes AT baidaaalsafy diagnosisofmalignantmelanomaofskincancertypes |
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1725521083622227968 |