COMPUTER-AIDED CHARACTERIZATION OF THYROID NODULES BY IMAGE ANALYSIS METHODS

2003 ◽  
Author(s):  
S. TSANTIS ◽  
I. KALATZIS ◽  
N. PILIOURAS ◽  
D. CAVOURAS ◽  
N. DIMITROPOULOS ◽  
...  
Keyword(s):  
Image Analysis ◽  
Thyroid Nodules ◽  
Analysis Methods ◽  
Computer Aided

A New Technique for Characterization of Residual Stresses in Glass Surfaces: Scratch Test Completed with Image Analysis

2008 ◽  
Vol 589 ◽  
pp. 275-280 ◽  
Author(s):  
Szilvia Szeghalmy ◽  
Péter Barkóczy ◽  
Maria Berkes Maros ◽  
Attila Fazekas ◽  
Csaba Póliska
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Residual Stresses ◽  
Research Work ◽  
Scratch Test ◽  
Glass Quality ◽  
Computer Aided ◽  
A New Technique ◽  
Glass Surfaces

Residual stresses significantly influence the strength and lifetime of the glass products, therefore their qualification and quantification during production is basically important for evaluating their probable reliability in application. The current paper aims at introducing a novel procedure of the suggested automatic glass quality test based on instrumented scratch test completed with computer aided image analysis. A special emphasis is put on the problem of limited reproducibility and reliability of the image processing, arisen in the first stage of the research work. The latest results consisting in the development of a new algorithm, providing a more reliable evaluation of the test data will be described.

A computer-aided measuring system for the characterization of yeast populations combining 2D-image analysis, electronic particle counter, and flow cytometry

1992 ◽  
Vol 39 (3) ◽  
pp. 343-350 ◽  
Author(s):  
P. G. Huls ◽  
N. Nanninga ◽  
E. A. van Spronsen ◽  
J. A. C. Valkenburg ◽  
N. O. E. Vishcer ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Image Analysis ◽  
Measuring System ◽  
Particle Counter ◽  
Computer Aided ◽  
Electronic Particle Counter

A computer-aided diagnosis system for the assessment and characterization of low-to-high suspicion thyroid nodules on ultrasound

2018 ◽  
Vol 124 (2) ◽  
pp. 118-125 ◽  
Author(s):  
Salvatore Gitto ◽  
Giorgia Grassi ◽  
Chiara De Angelis ◽  
Cristian Giuseppe Monaco ◽  
Silvana Sdao ◽  
...  
Keyword(s):  
Thyroid Nodules ◽  
Computer Aided Diagnosis ◽  
Diagnosis System ◽  
Computer Aided ◽  
Aided Diagnosis

An Overview of Biomedical Image Analysis From the Deep Learning Perspective

2020 ◽  
pp. 197-218
Author(s):  
Shouvik Chakraborty ◽  
Kalyani Mali
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Biomedical Image Analysis ◽  
Comprehensive Overview ◽  
Biomedical Image ◽  
Research Areas ◽  
Analysis Methods ◽  
Computer Aided ◽  
Recent Developments ◽  
Active Research

Biomedical image analysis methods are gradually shifting towards computer-aided solutions from manual investigations to save time and improve the quality of the diagnosis. Deep learning-assisted biomedical image analysis is one of the major and active research areas. Several researchers are working in this domain because deep learning-assisted computer-aided diagnostic solutions are well known for their efficiency. In this chapter, a comprehensive overview of the deep learning-assisted biomedical image analysis methods is presented. This chapter can be helpful for the researchers to understand the recent developments and drawbacks of the present systems. The discussion is made from the perspective of the computer vision, pattern recognition, and artificial intelligence. This chapter can help to get future research directions to exploit the blessings of deep learning techniques for biomedical image analysis.

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