Abstract
This study introduces an approach for quantitative analysis of microendoscopic images to identify esophageal neoplasia. The approach quantifies morphologic parameters which distinguish esophageal neoplasia with high accuracy in an independent validation set.
© 2012 Optical Society of America
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