Cancer detection based on Raman spectra super-paramagnetic clustering
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- 作者：José ; Luis Gonzá ; lez-Solí ; sa ; jluis@gmail.com" class="auth_mail" title="E-mail the corresponding author ; jluis0968@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Juan Ignacio Guizar-Ruiza ; Juan Carlos Martí ; nez-Espinosab ; Brenda Esmeralda Martí ; nez-Zeregaa ; Hé ; ctor Alfonso Juá ; rez-Ló ; peza ; Hé ; ctor Vargas-Rodrí ; gueza ; Luis Armando Gallegos-Infantea ; Ricardo Armando Gonzá ; lez-Silvaa ; Pedro Basilio Espinoza-Padillaa ; Pascual Palomares-Andac
- 关键词：Super-paramagnetic clustering ; Raman spectrum ; Cervical and breast cancer ; Leukemia ; Monte Carlo simulation
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2016
- 出版时间：1 August 2016
- 年：2016
- 卷：455
- 期：Complete
- 页码：52-64
- 全文大小：1539 K
文摘
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The clustering of Raman spectra of serum sample from cancer patients is analyzed.
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The super-paramagnetic clustering (SPC) method to classify Raman spectra is proposed.
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By identifying the most natural clusters, SPC method allows discriminating the control and cancer patients.
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In leukemia case, SPC detects a hierarchical structure allowing the identification of the patient leukemia type.
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The goal of this study is to apply a model of statistical physics to classify spectra allowing the design of a cancer detection method.