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Characterization of Architectural Distortion in Mammograms Based on Texture Analysis Using Support Vector Machine Classifier with Clinical Evaluation

Architecture distortion (AD) is an important and early sign of breast cancer, but due to its subtlety, it is often missed on the screening mammograms. The objective of this study is to create a quantitative approach for texture classification of AD based on various texture models, using support vect...

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Bibliografski detalji
Izdano u:J Digit Imaging
Glavni autori: Kamra, Amit, Jain, V K, Singh, Sukhwinder, Mittal, Sunil
Format: Artigo
Jezik:Inglês
Izdano: Springer US 2015
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Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4722021/
https://ncbi.nlm.nih.gov/pubmed/26138756
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-015-9807-3
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