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Textural analysis of optical scattering for identification of cancer in breast surgical specimens.
In: Proceedings of the 9th IEEE International Symposium on Biomedical Imaging (From Nano to Macro ISBI 2012, Barcelona, 2-5 May 2012). Piscataway, NJ: IEEE, 2012. 1615-1618
Textural analysis of tissue scattering images is proposed for healthy versus tumor discrimination. Scattering center density varies from normal to tumor tissues and this variation is translated into different textures in the scattering power map. Adipose tissue shows low autocorrelation values while tumor tissues present higher entropies than normal tissue. Consequently, a combination of autocorrelation and entropy values allows ready tissue discrimination by a supervised linear classifier. The proposed approach has been validated over a set of 29 breast tissue samples achieving a sensitivity of 73.59% and specificity of 82.40%.
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Publication type
Article: Conference contribution
Language
english
Publication Year
2012
HGF-reported in Year
0
ISBN
978-1-424-44125-9
Conference Title
From Nano to Macro ISBI 2012, Barcelona, 2-5 May 2012
Proceedings Title
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging
Quellenangaben
Pages: 1615-1618
Publisher
IEEE
Publishing Place
Piscataway, NJ
Institute(s)
Institute of Biological and Medical Imaging (IBMI)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-505500-001
Erfassungsdatum
2013-05-10