Automatic detection of basal cell carcinoma using telangiectasia analysis in dermoscopy skin lesion images

Background: Telangiectasia, dilated blood vessels near the surface of the skin of small, varying diameter, are critical dermoscopy structures used in the detection of basal cell carcinoma (BCC). Distinguishing these vessels from other telangiectasia, that are commonly found in sun‐damaged skin, is c...

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Veröffentlicht in:	Skin research and technology 2011-08, Vol.17 (3), p.278-287
Hauptverfasser:	Cheng, Beibei, Erdos, David, Stanley, Ronald J., Stoecker, William V., Calcara, David A., Gómez, David D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms basal cell carcinoma Carcinoma, Basal Cell - complications Carcinoma, Basal Cell - pathology dermoscopy Dermoscopy - methods Florida Humans image analysis Image Interpretation, Computer-Assisted - methods Missouri neural network Neural Networks, Computer Pattern Recognition, Automated - methods Reproducibility of Results Sensitivity and Specificity Skin Neoplasms - complications Skin Neoplasms - pathology telangiectasia Telangiectasis - etiology Telangiectasis - pathology vessels
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