Computer-aided diagnosis of dysplasia in Barrett"s esophagus using endoscopic optical coherence tomography

2004 ◽  
Author(s):  
Xin Qi ◽  
Michael V. Sivak, Jr. ◽  
David L. Wilson ◽  
Andrew M. Rollins
Keyword(s):  
Optical Coherence Tomography ◽  
Computer Aided Diagnosis ◽  
Optical Coherence ◽  
Computer Aided ◽  
Endoscopic Optical Coherence Tomography ◽  
Aided Diagnosis

scholarly journals Optical coherence tomography and computer-aided diagnosis of a murine model of chronic kidney disease

2017 ◽  
Vol 22 (12) ◽  
pp. 1 ◽  
Author(s):  
Bohan Wang ◽  
Hsing-Wen Wang ◽  
Hengchang Guo ◽  
Erik Anderson ◽  
Qinggong Tang ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Optical Coherence Tomography ◽  
Kidney Disease ◽  
Murine Model ◽  
Computer Aided Diagnosis ◽  
Optical Coherence ◽  
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.

COMPUTER-AIDED DIAGNOSIS OF GASTRIC LESIONS USING MAGNIFYING NARROW BAND IMAGING ENDOSCOPY

2019 ◽  
Author(s):  
S Kashin ◽  
R Kuvaev ◽  
E Kraynova ◽  
H Edelsbrunner ◽  
O Dunaeva ◽  
...  
Keyword(s):  
Narrow Band ◽  
Narrow Band Imaging ◽  
Computer Aided Diagnosis ◽  
Gastric Lesions ◽  
Computer Aided ◽  
Aided Diagnosis
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