scholarly journals Differentiation of Pancreatic Cancer and Chronic Pancreatitis Using Computer-Aided Diagnosis of Endoscopic Ultrasound (EUS) Images: A Diagnostic Test

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e63820 ◽  
Author(s):  
Maoling Zhu ◽  
Can Xu ◽  
Jianguo Yu ◽  
Yijun Wu ◽  
Chunguang Li ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Chronic Pancreatitis ◽  
Diagnostic Test ◽  
Endoscopic Ultrasound ◽  
Computer Aided Diagnosis ◽  
Computer Aided ◽  
Aided Diagnosis

scholarly journals Age-based computer-aided diagnosis approach for pancreatic cancer on endoscopic ultrasound images

2016 ◽  
Vol 5 (2) ◽  
pp. 101 ◽  
Author(s):  
Mevlut Kurt ◽  
Murat Ozkan ◽  
Murat Cakiroglu ◽  
Orhan Kocaman ◽  
Bulent Yilmaz ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Endoscopic Ultrasound ◽  
Computer Aided Diagnosis ◽  
Ultrasound Images ◽  
Computer Aided ◽  
Aided Diagnosis ◽  
Diagnosis Approach

scholarly journals Computer-Aided Diagnosis and Staging of Pancreatic Cancer Based on CT Images

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 141705-141718
Author(s):  
Min Li ◽  
Xiaohan Nie ◽  
Yilidan Reheman ◽  
Pan Huang ◽  
Shuailei Zhang ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Ct Images ◽  
Computer Aided Diagnosis ◽  
Computer Aided ◽  
Aided Diagnosis

scholarly journals Mo1296 RELIMINARY RESULT OF COMPUTER AIDED DIAGNOSIS (CAD) PERFORMANCE USING DEEP LEARNING IN EUS-FNA CYTOLOGY OF PANCREATIC CANCER

2018 ◽  
Vol 87 (6) ◽  
pp. AB434 ◽  
Author(s):  
Yusuke Hashimoto ◽  
Izumi Ohno ◽  
Hiroshi Imaoka ◽  
Hideaki Takahashi ◽  
Shuichi Mitsunaga ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Deep Learning ◽  
Computer Aided Diagnosis ◽  
Computer Aided ◽  
Aided Diagnosis

A new descriptor for computer-aided diagnosis of EUS imaging to distinguish autoimmune pancreatitis from chronic pancreatitis

2015 ◽  
Vol 82 (5) ◽  
pp. 831-836.e1 ◽  
Author(s):  
Jianwei Zhu ◽  
Lei Wang ◽  
Yining Chu ◽  
Xiaojia Hou ◽  
Ling Xing ◽  
...  
Keyword(s):  
Chronic Pancreatitis ◽  
Autoimmune Pancreatitis ◽  
Computer Aided Diagnosis ◽  
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.

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