Computer Based Advanced Approach for MRI Image Classification Using Neural Network With The Texture Features Extracted

A Study on Diagnosis of Brain Tumor Based on Neural Network by Extracting Valid Area and Texture Features by GLCM of MRI Image

Journal of Korean institute of intelligent systems ◽

10.5391/jkiis.2017.27.3.261 ◽

2017 ◽

Vol 27 (3) ◽

pp. 261-267

Author(s):

Yong-Hyun Cho

Keyword(s):

Neural Network ◽

Brain Tumor ◽

Texture Features ◽

Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Autoencoder-Based Deep Neural Network

IEEE Access ◽

10.1109/access.2019.2902252 ◽

2019 ◽

Vol 7 ◽

pp. 46278-46287 ◽

Cited By ~ 22

Author(s):

Pradeep Kumar Mallick ◽

Seuc Ho Ryu ◽

Sandeep Kumar Satapathy ◽

Shruti Mishra ◽

Gia Nhu Nguyen ◽

...

Keyword(s):

Neural Network ◽

Image Classification ◽

Cancer Detection ◽

Deep Neural Network ◽

Brain Mri ◽

2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE) ◽

MRI image classification using GLCM texture features

10.1109/icgccee.2014.6922461 ◽

2014 ◽

Cited By ~ 13

Author(s):

G. Preethi ◽

V. Sornagopal

Keyword(s):

Image Classification ◽

Texture Features ◽

Proceedings of the The International Conference on Engineering & MIS 2015 - ICEMIS '15 ◽

Performance Impact of Texture Features on MRI Image Classification

10.1145/2832987.2833063 ◽

2015 ◽

Cited By ~ 1

Author(s):

Amer Al-Badarneh ◽

Ali Alrazqi ◽

Hassan Najadat

Keyword(s):

Image Classification ◽

Texture Features ◽

Performance Impact ◽

Fused Random Pooling in Convolutional Neural Network for Herbal Plants Image Classification

International Journal of Advanced Trends in Computer Science and Engineering ◽

10.30534/ijatcse/2019/87862019 ◽

2019 ◽

Vol 8 (6) ◽

pp. 3208-3214

Author(s):

Ian Val P. Delos Reyes ◽

Keyword(s):

Neural Network ◽

Image Classification ◽

Herbal Plants

Improving Convolutional Neural Network (CNN) Architecture (miniVGGNet) with Batch Normalization and Learning Rate Decay Factor for Image Classification

International Journal of Integrated Engineering ◽

10.30880/ijie.2019.11.04.006 ◽

2019 ◽

Vol 11 (4) ◽

Author(s):

Asmida Ismail ◽

◽

Siti Anom Ahmad ◽

Azura Che Soh ◽

Khair Hassan ◽

...

Keyword(s):

Neural Network ◽

Image Classification ◽

Learning Rate ◽

Decay Factor ◽

Batch Normalization ◽

Rate Decay

Image Classification Method Based on Supplement Convolutional Neural Network

Journal of Computer-Aided Design & Computer Graphics ◽

10.3724/sp.j.1089.2018.16322 ◽

2018 ◽

Vol 30 (3) ◽

pp. 385 ◽

Cited By ~ 3

Author(s):

Qiang Wang ◽

Xiaojie Li ◽

Jun Chen

Keyword(s):

Neural Network ◽

Image Classification ◽

Classification Method

Accelerating Convolutional Neural Network-Based Hyperspectral Image Classification by Step Activation Quantization

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3058321 ◽

2021 ◽

pp. 1-12

Author(s):

Shaohui Mei ◽

Xiaofeng Chen ◽

Yifan Zhang ◽

Jun Li ◽

Antonio Plaza

Keyword(s):

Neural Network ◽

Hyperspectral Image Classification

Image Classification ◽

Hyperspectral Image ◽

Deep Manifold Reconstruction Neural Network for Hyperspectral Image Classification

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2020.3042999 ◽

2020 ◽

pp. 1-5 ◽

Cited By ~ 1

Author(s):

Zhengying Li ◽

Hong Huang ◽

Zhen Zhang

Keyword(s):

Neural Network ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Manifold Reconstruction

2021 7th International Conference on Engineering, Applied Sciences and Technology (ICEAST) ◽

Performance Comparison for Different Neural Network Architectures for chest X-Ray Image Classification

10.1109/iceast52143.2021.9426289 ◽

2021 ◽

Author(s):

Pinyada Rajadanuraks ◽

Sarapom Suranuntchai ◽

Suejit Pechprasam ◽

Treesukon Treebupachatsakul

Keyword(s):

Neural Network ◽

Image Classification ◽

Performance Comparison ◽

Network Architectures ◽

X Ray ◽

Chest X Ray ◽

Neural Network Architectures