Capillary detection for clinical images of basal cell carcinoma

Adam Huang, Wen Yu Chang, Hsin Yi Liu, Gwo Shing Chen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

Dilated capillaries are an important characteristic of basal cell carcinoma (BCC). Detecting capillaries in images can improve a computer-aided skin cancer diagnosis system. In this study, we investigate the feasibility to extract capillaries from clinical images of skin lesions recorded by a regular digital camera. First, we used a compact set of 1 curvilinear and 2 color parameters to train a support vector machine (SVM) classifier to identify capillary pixels. Second, the identified pixels were grouped by a region-growing algorithm to form capillary candidates. Last, the likelihood to be a true capillary was estimated based on the distance to the red color in the CIE Lab color space. The method was tested on a dataset of 21 BCC images with visible capillaries and 28 benign pigmented lesions without visible capillaries. The accuracy, sensitivity, and specificity of the proposed method were 89.8% (44/49), 90.5% (19/21), and 89.3% (25/28) respectively. We found capillaries recorded by a regular digital camera can be detected successfully.

原文???core.languages.en_GB???
主出版物標題2012 9th IEEE International Symposium on Biomedical Imaging
主出版物子標題From Nano to Macro, ISBI 2012 - Proceedings
頁面306-309
頁數4
DOIs
出版狀態已出版 - 2012
事件2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 - Barcelona, Spain
持續時間: 2 5月 20125 5月 2012

出版系列

名字Proceedings - International Symposium on Biomedical Imaging
ISSN(列印)1945-7928
ISSN(電子)1945-8452

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???event.eventtypes.event.conference???2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
國家/地區Spain
城市Barcelona
期間2/05/125/05/12

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