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

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 proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Biomedical Optics, BIOMED 2012
Pages	BTu3A.68
State	Published - 2012
Event	Biomedical Optics, BIOMED 2012 - Miami, FL, United States Duration: 28 Apr 2012 → 2 May 2012

Publication series

Name	Biomedical Optics, BIOMED 2012

Conference

Conference	Biomedical Optics, BIOMED 2012
Country/Territory	United States
City	Miami, FL
Period	28/04/12 → 2/05/12

Cite this

@inproceedings{94db46f4eb204e9a86d526084eedc6bd,

title = "Automated image analysis of in vivo microendoscopic images for quantitative diagnosis of esophageal squamous cell carcinoma",

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.",

author = "Dongsuk Shin and Protano, {Marion Anna} and Mark Pierce and Alexandros Polydorides and Fan Zhang and Sharmila Ananadasabapathy and Rebecca Richards-Kortum",

year = "2012",

language = "English",

isbn = "9781557529428",

series = "Biomedical Optics, BIOMED 2012",

pages = "BTu3A.68",

booktitle = "Biomedical Optics, BIOMED 2012",

note = "Biomedical Optics, BIOMED 2012 ; Conference date: 28-04-2012 Through 02-05-2012",

}

Shin, D, Protano, MA, Pierce, M, Polydorides, A, Zhang, F, Ananadasabapathy, S & Richards-Kortum, R 2012, Automated image analysis of in vivo microendoscopic images for quantitative diagnosis of esophageal squamous cell carcinoma. in Biomedical Optics, BIOMED 2012. Biomedical Optics, BIOMED 2012, pp. BTu3A.68, Biomedical Optics, BIOMED 2012, Miami, FL, United States, 28/04/12.

Automated image analysis of in vivo microendoscopic images for quantitative diagnosis of esophageal squamous cell carcinoma. / Shin, Dongsuk; Protano, Marion Anna; Pierce, Mark et al.
Biomedical Optics, BIOMED 2012. 2012. p. BTu3A.68 (Biomedical Optics, BIOMED 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automated image analysis of in vivo microendoscopic images for quantitative diagnosis of esophageal squamous cell carcinoma

AU - Shin, Dongsuk

AU - Protano, Marion Anna

AU - Pierce, Mark

AU - Polydorides, Alexandros

AU - Zhang, Fan

AU - Ananadasabapathy, Sharmila

AU - Richards-Kortum, Rebecca

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84890727589&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84890727589

SN - 9781557529428

T3 - Biomedical Optics, BIOMED 2012

SP - BTu3A.68

BT - Biomedical Optics, BIOMED 2012

T2 - Biomedical Optics, BIOMED 2012

Y2 - 28 April 2012 through 2 May 2012

ER -

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

Abstract

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Conference

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