Bag-of-Features Classification Model for the Diagnose of Melanoma in Dermoscopy Images Using Color and Texture Descriptors

被引：0
作者：
Barata, Catarina [1 ]
Marques, Jorge S. [1 ]
Mendonca, Teresa [2 ]
机构：
[1] Inst Super Tecn, Inst Syst & Robot, Lisbon, Portugal
[2] Univ Porto, Fac Ciencias, Porto, Portugal
来源：
IMAGE ANALYSIS AND RECOGNITION | 2013年 / 7950卷
关键词：
Melanoma; Dermoscopy; Bag-of-Features; Feature Extraction; Medical Image Analysis; ABCD RULE; DERMATOSCOPY; SYSTEM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Melanoma detection using medical oriented approaches has been a trend in skin cancer research. This paper uses a Bag-of-Feature model for the detection of melanomas in dermoscopy images and aims at identifying the role of different local texture and color descriptors. This is a medical oriented approach and the reported results are promising (Sensitivity = 93%, Specificity=85%), showing the ability of this method to describe medical dermoscopic features. Moreover, the results show that color descriptors outperform texture ones.
引用
收藏
页码：547 / 555
页数：9
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