Research of Computer-Aided Diagnosis about Pulmonary Interstitial Pathology Based on Wavelet Decomposition

This paper present a way of pulmonary interstitial pathology diagnosis of computer-aided diagnosis based on wavelet analysis. It is difficult to diagnosis qualitatively in pulmonary interstitial pathology because various lesions of the image analogous and the image interlap. The method based on good time-frequency characters is put. The effectiveness and accuracy of the means is verified through the simulation experiment of denoised image, image segmentation and image characteristics extraction. Along with the further research and application of the wavelet technique, it will have more space that use wavelet analysis in computer-aided diagnosis.

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Computer-Aided Diagnosis of Epilepsy Based on the Time-Frequency Texture Descriptors of EEG Signals Using Wavelet Packet Decomposition and Artificial Neural Network

Cognitive Informatics and Soft Computing - Advances in Intelligent Systems and Computing ◽

10.1007/978-981-13-0617-4_64 ◽

2018 ◽

pp. 677-688 ◽

Cited By ~ 1

Author(s):

N. J. Sairamya ◽

S. Thomas George ◽

M. S. P. Subathra ◽

Nallapaneni Manoj Kumar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Wavelet Packet ◽

Computer Aided Diagnosis ◽

Wavelet Packet Decomposition ◽

Eeg Signals ◽

Time Frequency ◽

Computer Aided ◽

Artificial Neural ◽

Aided Diagnosis

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Time-frequency domain features of electro-cardiographic signals : an interpretation and their application in computer aided diagnosis

10.14264/uql.2015.527 ◽

1988 ◽

Author(s):

R. M. S. S. Abeysekera

Keyword(s):

Frequency Domain ◽

Computer Aided Diagnosis ◽

Time Frequency ◽

Computer Aided ◽

Aided Diagnosis

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Image characteristics of digital panoramic radiography—potential for computer-aided diagnosis of calcified carotid atheromatous plaque

International Congress Series ◽

10.1016/s0531-5131(01)00080-2 ◽

2001 ◽

Vol 1230 ◽

pp. 514-519

Author(s):

T.T. Farman ◽

Z. Chen ◽

Z. Khan ◽

A.H. Friedlander ◽

L.C. Carter ◽

...

Keyword(s):

Panoramic Radiography ◽

Computer Aided Diagnosis ◽

Atheromatous Plaque ◽

Image Characteristics ◽

Digital Panoramic Radiography ◽

Computer Aided ◽

Aided Diagnosis

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Computer-aided Diagnosis and Medical Decision Support are not Synonymous

Methods of Information in Medicine ◽

10.1055/s-0038-1634612 ◽

1995 ◽

Vol 34 (04) ◽

pp. 369-370 ◽

Cited By ~ 2

Author(s):

F. T. de Dombal

Keyword(s):

Decision Support ◽

Computer Aided Diagnosis ◽

Medical Decision ◽

Medical Decision Support ◽

Computer Aided ◽

Aided Diagnosis

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

Methods of Information in Medicine ◽

10.1055/s-0038-1636061 ◽

1972 ◽

Vol 11 (01) ◽

pp. 32-37 ◽

Cited By ~ 10

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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