A Distributed Measurement System for Dermoscopic Analysis of Pigmented Skin Lesions

被引：0
作者：
Di Leo, G. [1 ]
Paolillo, A. [1 ]
Pietrosanto, A. [1 ]
Sommella, P. [1 ]
Fabbrocini, G. [2 ]
Cacciapuoti, S. [2 ]
机构：
[1] Univ Salerno, Dept Ind Engn, Fisciano, SA, Italy
[2] Univ Naples Federico II, Dept Systemat Pathol, Dermatol Sect, Naples, Italy
来源：
2015 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) | 2015年
关键词：
Biomedical image processing; artificial intelligence; distributed measurement systems; uncertainty management; HAIR REMOVAL; DERMATOSCOPY; DIAGNOSIS;
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
An image based system implementing a well-known diagnostic method is disclosed for the automatic detection of melanomas as support to clinicians. The software architecture is able to receive and store digital ELM images captured by hand-held dermoscopy and smartphones, recognize automatically the skin lesion within the digital image, measure morphological and chromatic parameters, carry out a suitable classification for detecting the dermoscopic structures included in the 7-Point Checklist and finally provide a second opinion supporting the dermatologist for the clinical decision. Advanced techniques are introduced at different stages of the image processing pipeline, including the border detection, the extraction of low-level features and scoring of high order features. Performance validation of the measurement system relies to the clinical practice by physicians with different experience.
引用
收藏
页码：1646 / 1651
页数：6
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