New Approaches for Computer-Assisted Skin Cancer Diagnosis
With the wide-spread availability of advanced digital cameras dermoscopy has become nowadays a standard technique to help the doctors taking diagnosis for many types of skin lesions. Further, computer-assisted techniques and image processing methods can be used for image filtering and for feature extraction and pattern recognition in the selected images. Apart from standard approaches based on geometrical features and color/pattern analysis we propose to enhance the computer-aided diagnostic tools by adding non-standard image decompositions and applying classification techniques based on statistical learning and model ensembling. Ensembles of classifiers based on the extended feature set show improved performance figures suggesting that the proposed approach could be used as powerful tool assisting medical diagnosis.
M.J.Ogorzalek G.Surówka L.Nowak C.Merkwirth
Department of Information Technologies,Faculty of Physics,Astronomy and Applied Computer Science,Jag Department of Information Technologies,Faculty of Physics,and Applied Computer Science Jagiellonian
国际会议
The 3rd International Symposium on Optimization and System Biology(第三届最优化与系统生物学国际会议 OSB09)
张家界
英文
65-72
2009-09-20（万方平台首次上网日期，不代表论文的发表时间）