Computer-aided diagnosis of dysplasia in Barrett's esophagus using multiple endoscopic OCT images

2006 ◽  
Author(s):  
Xin Qi ◽  
Douglas Y. Rowland ◽  
Michael V. Sivak, Jr. ◽  
Andrew M. Rollins
Keyword(s):  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Computer Aided Diagnosis ◽  
Computer Aided ◽  
Endoscopic Oct ◽  
Aided Diagnosis

239 Computer Aided Diagnosis of Barrett's Esophagus Using Confocal Laser Endomicroscopy: Preliminary Data

2012 ◽  
Vol 75 (4) ◽  
pp. AB126 ◽  
Author(s):  
Enrico Grisan ◽  
Elisa Veronese ◽  
Giorgio Diamantis ◽  
Cristina Trovato ◽  
Cristiano Crosta ◽  
...  
Keyword(s):  
Barrett’S Esophagus ◽  
Preliminary Data ◽  
Barrett's Esophagus ◽  
Computer Aided Diagnosis ◽  
Confocal Laser Endomicroscopy ◽  
Confocal Laser ◽  
Computer Aided ◽  
Aided Diagnosis

ID: 3522945 COMPUTER AIDED DIAGNOSIS FOR THE CHARACTERISATION OF DYSPLASIA IN BARRETT'S ESOPHAGUS WITH MAGNIFICATION ENDOSCOPY

2021 ◽  
Vol 93 (6) ◽  
pp. AB188-AB189
Author(s):  
Mohamed Hussein ◽  
David Lines ◽  
Juana González-Bueno Puyal ◽  
Nicola Bowman ◽  
Vinay Sehgal ◽  
...  
Keyword(s):  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Computer Aided Diagnosis ◽  
Magnification Endoscopy ◽  
Computer Aided ◽  
Aided Diagnosis

Pattern-Recognition: A Comparison of the Performance of Clinicians and Non-Clinicians - with a Note on the Performance of a Computer-Based System

1972 ◽  
Vol 11 (01) ◽  
pp. 32-37 ◽  
Author(s):  
F. T. DE DOMBAL ◽  
J. C. HORROCKS ◽  
J. R. STANILAND ◽  
P. J. GUILLOU
Keyword(s):  
Pattern Recognition ◽  
Computer System ◽  
Computer Aided Diagnosis ◽  
Clinical Interview ◽  
Computer Performance ◽  
Pattern Size ◽  
Computer Aided ◽  
Computer Based ◽  
Aided Diagnosis ◽  
Better Than

This paper describes a series of 10,500 attempts at »pattern-recognition« by two groups of humans and a computer based system. There was little difference between the performances of 11 clinicians and 11 other persons of comparable intellectual capability. Both groups’ performances were related to the pattern-size, the accuracy diminishing rapidly as the patterns grew larger. By contrast the computer system increased its accuracy as the patterns increased in size.It is suggested (a) that clinicians are very little better than others at pattem-recognition, (b) that the clinician is incapable of analysing on a probabilistic basis the data he collects during a traditional clinical interview and examination and (c) that the study emphasises once again a major difference between human and computer performance. The implications as - regards human- and computer-aided diagnosis are discussed.

Sign in / Sign up

Export Citation Format

Share Document