BCC skin cancer diagnosis based on texture analysis techniques

Shao Hui Chuang, Xiaoyan Sun, Wen Yu Chang, Gwo Shing Chen, Adam Huang, Jiang Li, Frederic D. McKenzie

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)


In this paper, we present a texture analysis based method for diagnosing the Basal Cell Carcinoma (BCC) skin cancer using optical images taken from the suspicious skin regions. We first extracted the Run Length Matrix and Haralick texture features from the images and used a feature selection algorithm to identify the most effective feature set for the diagnosis. We then utilized a Multi-Layer Perceptron (MLP) classifier to classify the images to BCC or normal cases. Experiments showed that detecting BCC cancer based on optical images is feasible. The best sensitivity and specificity we achieved on our data set were 94% and 95%, respectively.

主出版物標題Medical Imaging 2011
主出版物子標題Computer-Aided Diagnosis
出版狀態已出版 - 2011
事件Medical Imaging 2011: Computer-Aided Diagnosis - Lake Buena Vista, FL, United States
持續時間: 15 2月 201117 2月 2011


名字Progress in Biomedical Optics and Imaging - Proceedings of SPIE


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國家/地區United States
城市Lake Buena Vista, FL


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