Segmentation of dermatoscopic images by stabilized inverse diffusion equations

被引：0

作者：

Gao, J ^{[1
]}

Zhang, J ^{[1
]}

Fleming, MG ^{[1
]}

Pollak, I ^{[1
]}

Cognetta, AB ^{[1
]}

机构：

[1] Univ Wisconsin, Dept Elect Engn & Comp Sci, Madison, WI 53706 USA

来源：

1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 3 | 1998年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Several segmentation techniques were evaluated for their effectiveness in distinguishing lesion from background in dermatoscopic images of pigmented lesions (moles and melanomas). These included 5 techniques previously used for segmentation of pigmented lesions, and several new techniques based on stabilized inverse diffusion equations (SIDE) and Markov random fields (MRF). Novel multiresolution implementations of the SIDE and MRF algorithms were created for this work Techniques based on the SIDE and MRF algorithms produced the most accurate segmentations.

引用

页码：823 / 827

页数：5

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