Automated image analysis of in vivo microendoscopic images for quantitative diagnosis of esophageal squamous cell carcinoma

Dongsuk Shin, Marion Anna Protano, Mark Pierce, Alexandros Polydorides, Fan Zhang, Sharmila Ananadasabapathy, Rebecca Richards-Kortum

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationBiomedical Optics, BIOMED 2012
PagesBTu3A.68
StatePublished - 2012
EventBiomedical Optics, BIOMED 2012 - Miami, FL, United States
Duration: Apr 28 2012May 2 2012

Publication series

NameBiomedical Optics, BIOMED 2012

Other

OtherBiomedical Optics, BIOMED 2012
CountryUnited States
CityMiami, FL
Period4/28/125/2/12

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

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