회색도 변환 행렬 특징과 SVM을 이용한흑색종 분류 알고리즘

• Published in: 멀티미디어학회논문지, 21(2) pp. 130 - 137
• Main Authors: 구정모, 나승대, 조진호, 김명남
• Format: Journal Article
• Language: Korean
• Published: 한국멀티미디어학회 01.02.2018
• Subjects: 전자/정보통신공학
• ISSN: 1229-7771
• DOI: 10.9717/kmms.2018.21.2.130

Recently, human life is getting longer due to change of living environment and development of medical technology, and silver medical technology has been in the limelight. Geriatric skin disease is difficult to detect early, and when it is missed, it becomes a malignant disease and is difficult to treatment. Melanoma is one of the most common diseases of geriatric skin disease and initially has a similar modality with the nevus. In order to overcome this problem, we attempted to perform a feature analysis in order to attempt automatic detection of melanoma-like lesions. In this paper, one is first order analysis using information of pixels in radiomic feature. The other is a gray-level co-occurrence matrix and a gray level run length matrix, which are feature extraction methods for converting image information into a matrix. The features were extracted through these analyses. And classification is implemented by SVM. KCI Citation Count: 0