Image feature analysis for classification of microcalcifications in digital mammography: neural networks and genetic algorithms

1997 ◽  
Author(s):  
Chris Y. Wu ◽  
Osamu Tsujii ◽  
Matthew T. Freedman ◽  
Seong K. Mun
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Digital Mammography ◽  
Image Feature ◽  
Feature Analysis

Neural Networks for the Classification of Benign and Malignant Patters in Digital Mammograms

2006 ◽  
pp. 251-272 ◽  
Author(s):  
Brijesh Verma ◽  
Rinku Panchal
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Feature Extraction ◽  
Digital Mammography ◽  
Extensive Review ◽  
Benchmark Database ◽  
Feature Extraction And Selection ◽  
Recent Developments ◽  
Artificial Neural Network Ann

This chapter presents neural network-based techniques for the classification of micro-calcification patterns in digital mammograms. Artificial neural network (ANN) applications in digital mammography are mainly focused on feature extraction, feature selection, and classification of micro-calcification patterns into ‘benign’ and ‘malignant’. An extensive review of neural network based techniques in digital mammography is presented. Recent developments such as auto-associators and evolutionary neural networks for feature extraction and selection are presented. Experimental results using ANN techniques on a benchmark database are described and analysed. Finally, a comparison of various neural network-based techniques is presented.

scholarly journals Model Classification Of Nominal Value And The Original Of IDR Money By Applying Evolutionary Neural Network

2020 ◽  
Vol 3 (2) ◽  
pp. 258-265
Author(s):  
Al-Khowarizmi Al-Khowarizmi
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Genetic Algorithms ◽  
Object Recognition ◽  
Success Rate ◽  
Model Classification ◽  
Evolutionary Neural Network ◽  
Evolutionary Neural Networks

Indonesian Rupiah (IDR) banknotes have unique characteristics that distinguish them from one another, both in the form of numbers, zeros and background images. This pattern of each type of banknote will be modeled in order to test the nominal value and authenticity of IDR, so as to be able to distinguish not only IDR banknotes but also other denominations. Evolutionary Neural Network is the development of the concept of evolution to get a neural network (NN) using genetic algorithms (GA). In this paper the application of evolutionary neural networks with less input is able to have a better success rate in object recognition, because the parameters for producing neural networks are far better

Application of neural networks and genetic algorithms in the classification of endothelial cells

1997 ◽  
Vol 18 (11-13) ◽  
pp. 1205-1210 ◽  
Author(s):  
Sameh M Yamany ◽  
Kamal J Khiani ◽  
Aly A Farag
Keyword(s):  
Neural Networks ◽  
Endothelial Cells ◽  
Genetic Algorithms

scholarly journals Diagnosis classification of dengue fever based on Neural Networks and Genetic algorithms

2019 ◽  
Vol 1175 ◽  
pp. 012065 ◽  
Author(s):  
Martselani Adias Sabara ◽  
Oman Somantri ◽  
Heru Nurcahyo ◽  
Nanang Kurnia Achmadi ◽  
Ulfatul Latifah ◽  
...  
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Dengue Fever ◽  
Diagnosis Classification
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