MELANOMA DIAGNOSIS USING EXTRACTION PROPER FEATURES FROM DERMATOSCOPIC IMAGES

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FATEH MANSOUR; MIRANBAYGI MOHAMMAD HOSEIN; FATEH MOHSEN; MANSOURI PARVIN

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Journal: Lasers in Medicine Year:2009 | Volume:6 | Issue:1 (31) Page(s): 25-33

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Information Journal Paper

Title

MELANOMA DIAGNOSIS USING EXTRACTION PROPER FEATURES FROM DERMATOSCOPIC IMAGES

Author(s)

FATEH MANSOUR | MIRANBAYGI MOHAMMAD HOSEIN | FATEH MOHSEN | MANSOURI PARVIN | Issue Writer Certificate

Keywords

SEGMENTATIONQ4

MELANOMAQ2

FEATURE EXTRACTIONQ4

FEATURE OPTIMIZATIONQ4

CLASSIFYQ4

Abstract

Background/objective: Diagnosis of MELANOMA in the early stages can have a significant effect on decreasing the mortality rate caused by this type of skin cancer. MELANOMA is hard to be diagnosed in the early stages, even by the best physicians. Therefore, providing a method to easier the early diagnosis of this type of cancer is very valuable and vital.Materials & Methods: In this research, by extraction of images' features and CLASSIFYing them, we proposed an algorithm which enables the MELANOMA diagnosis. In the first step, before proper features' extraction, we used polarized filter with proper angle for determining accurate boundaries between the normal and affected tissue. In the next step, with help of dermatologists we extracted the lesion's features. Moreover, we optimized the different features in order to have an exact and accurate classification of skin lesion and reduction in classifier training time.Results: Features optimization occurred via three following methods: Principal Component analysis, sequential forward selection and consultation with the dermatologist. By classifier help, all the optimized features were classified, enabled us to complete the algorithm. In the condition that we used the SVM classifier and optimized features with the direct ordinal selection method, the algorithm succeeded in diagnosing MELANOMA with the approximate accuracy of 91%.Conclusion: The proposed method is useful for diagnosing the MELANOMA with a convenient price and considerable high accuracy. Also, this software package has the connection capability to dermatoscopy and is helpful for diagnosing the MELANOMA.

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APA: Copy

FATEH, MANSOUR, MIRANBAYGI, MOHAMMAD HOSEIN, FATEH, MOHSEN, & MANSOURI, PARVIN. (2009). MELANOMA DIAGNOSIS USING EXTRACTION PROPER FEATURES FROM DERMATOSCOPIC IMAGES. LASER IN MEDICINE, 6(1 (31)), 25-33. SID. https://sid.ir/paper/113481/en

Vancouver: Copy

FATEH MANSOUR, MIRANBAYGI MOHAMMAD HOSEIN, FATEH MOHSEN, MANSOURI PARVIN. MELANOMA DIAGNOSIS USING EXTRACTION PROPER FEATURES FROM DERMATOSCOPIC IMAGES. LASER IN MEDICINE[Internet]. 2009;6(1 (31)):25-33. Available from: https://sid.ir/paper/113481/en

IEEE: Copy

MANSOUR FATEH, MOHAMMAD HOSEIN MIRANBAYGI, MOHSEN FATEH, and PARVIN MANSOURI, “MELANOMA DIAGNOSIS USING EXTRACTION PROPER FEATURES FROM DERMATOSCOPIC IMAGES,” LASER IN MEDICINE, vol. 6, no. 1 (31), pp. 25–33, 2009, [Online]. Available: https://sid.ir/paper/113481/en

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