Assessment of the relationship between lesion segmentation accuracy and computer-aided diagnosis scheme performance

2008 ◽  
Author(s):  
Bin Zheng ◽  
Jiantao Pu ◽  
Sang Cheol Park ◽  
Margarita Zuley ◽  
David Gur
Keyword(s):  
Computer Aided Diagnosis ◽  
Lesion Segmentation ◽  
Segmentation Accuracy ◽  
Computer Aided ◽  
The Relationship ◽  
Aided Diagnosis

scholarly journals Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography

2014 ◽  
Vol 1 (3) ◽  
pp. 031012 ◽  
Author(s):  
Hsien-Chi Kuo ◽  
Maryellen L. Giger ◽  
Ingrid Reiser ◽  
Karen Drukker ◽  
John M. Boone ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Computer Aided Diagnosis ◽  
Lesion Segmentation ◽  
Computer Aided ◽  
Aided Diagnosis ◽  
Breast Computed Tomography

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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