Segmentation of Anomalies in Abdomen CT Images by Convolution Neural Network and Classification by Fuzzy Support Vector Machine

2019 ◽  
pp. 157-196 ◽  
Author(s):  
S. N. Kumar ◽  
A. Lenin Fred ◽  
H. Ajay Kumar ◽  
P. Sebastin Varghese ◽  
Salga Ann Jacob
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Ct Images ◽  
Convolution Neural Network ◽  
Support Vector ◽  
Fuzzy Support Vector Machine ◽  
Abdomen Ct

scholarly journals Pioneer dataset and recognition of Handwritten Pashto characters using Convolution Neural Networks

2020 ◽  
pp. 002029402096482
Author(s):  
Sulaiman Khan ◽  
Abdul Hafeez ◽  
Hazrat Ali ◽  
Shah Nazir ◽  
Anwar Hussain
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Support Vector Machine ◽  
Research Work ◽  
Recognition Rate ◽  
Recognition Task ◽  
Convolution Neural Network ◽  
Medium Size ◽  
Support Vector ◽  
Artificial Neural

This paper presents an efficient OCR system for the recognition of offline Pashto isolated characters. The lack of an appropriate dataset makes it challenging to match against a reference and perform recognition. This research work addresses this problem by developing a medium-size database that comprises 4488 samples of handwritten Pashto character; that can be further used for experimental purposes. In the proposed OCR system the recognition task is performed using convolution neural network. The performance analysis of the proposed OCR system is validated by comparing its results with artificial neural network and support vector machine based on zoning feature extraction technique. The results of the proposed experiments shows an accuracy of 56% for the support vector machine, 78% for artificial neural network, and 80.7% for the proposed OCR system. The high recognition rate shows that the OCR system based on convolution neural network performs best among the used techniques.

A Fuzzy Support Vector Machine-Enhanced Convolutional Neural Network for Recognition of Glass Defects

2019 ◽  
Vol 21 (6) ◽  
pp. 1870-1881
Author(s):  
Yong Jin ◽  
Dandan Zhang ◽  
Maozhen Li ◽  
Zhaoba Wang ◽  
Youxing Chen
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Convolutional Neural Network ◽  
Support Vector ◽  
Fuzzy Support Vector Machine

scholarly journals Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

2021 ◽  
pp. 102622
Author(s):  
Danial Sharifrazi ◽  
Roohallah Alizadehsani ◽  
Mohamad Roshanzamir ◽  
Javad Hassannataj Joloudari ◽  
Afshin Shoeibi ◽  
...  
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Convolution Neural Network ◽  
Support Vector ◽  
X Ray ◽  
Network Support ◽  
Accurate Detection
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