Analysis of nervous fiber, muscle, and blood vessels using their ulraviolet near infrared reflectance characteristics
作者： Kadir Tufan , Ahmet Korkut Belli
DOI: 10.3233/BME-151523
关键词:
摘要: Injury to the nervous system can lead irreversible problems as tissues have limited regenerative capability. Therefore it is imperative find an objective, reliable, cheap, and easy-to-apply method that separates fibers from muscles blood vessels. The aim of this study determine structural differences aid in easy reliable identification fibers. We analyzed light reflectance these 230 nm 1000 found range 400 nm-600 higher comparison others. Therefore, we generated distinct features utilized support vector machine automatically classify samples. Classification performance demonstrated a good candidate feature help tissue.
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