Enhanced brain tumor detection using fractional wavelet transform and artificial neural network

Brain Tumor ◽

Wavelet Transform ◽

Tumor Detection ◽

Fractional Wavelet Transform ◽

Brain Tumor Detection Using Artificial Neural Network Fuzzy Inference System (ANFIS)

International Journal of Computer Applications Technology and Research ◽

10.7753/ijcatr0303.1004 ◽

2014 ◽

Vol 3 (3) ◽

pp. 150-154 ◽

Cited By ~ 3

Author(s):

R J Deshmukh ◽

R S Khule

Keyword(s):

Neural Network ◽

Brain Tumor ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Tumor Detection ◽

Inference System ◽

Detection and Classification Brain Tumor of Magnetic Resonance Imaging Using 2D Gabor Wavelet Transform and Artificial Neural Network: A Review

International Journal of IT-based Public Health Management ◽

10.21742/ijiphm.2015.2.2.02 ◽

2015 ◽

Vol 2 (2) ◽

pp. 11-20

Author(s):

S.A. Nagtode ◽

◽

Bhakti B Potdukhe ◽

Keyword(s):

Neural Network ◽

Magnetic Resonance Imaging ◽

Brain Tumor ◽

Wavelet Transform ◽

Magnetic Resonance ◽

Gabor Wavelet ◽

Resonance Imaging ◽

Gabor Wavelet Transform ◽

A Survey on Brain Tumor Detection and Classification System based on Artificial Neural Network

International Journal of Computer Applications ◽

10.5120/15820-4651 ◽

2014 ◽

Vol 90 (18) ◽

pp. 16-21 ◽

Cited By ~ 1

Author(s):

Priya Kochar

Keyword(s):

Neural Network ◽

Brain Tumor ◽

Classification System ◽

Tumor Detection ◽

2018 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) ◽

Brain Tumor Detection by using Artificial Neural Network

10.1109/iccceee.2018.8515763 ◽

2018 ◽

Cited By ~ 3

Author(s):

Hussna Elnoor Mohammed Abdalla ◽

M. Y. Esmail

Keyword(s):

Neural Network ◽

Brain Tumor ◽

Tumor Detection ◽

International Journal of Advanced Research in Computer Science and Software Engineering ◽

An Amalgam Method To Detect And Classify Brain Tumor Using MRI Images By Fuzzy C Means, Discrete Wavelet Transform and Artificial Neural Network

10.23956/ijarcsse/sv7i5/0332 ◽

2017 ◽

Vol 7 (5) ◽

pp. 462-468

Author(s):

Ganesh Kumar B ◽

◽

Saurabh Shukla ◽

Shravya N ◽

Yathish V ◽

...

Keyword(s):

Neural Network ◽

Brain Tumor ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Discrete Wavelet ◽

Fuzzy C Means ◽

A model development on GIS-driven data to predict temporal daily collision through integrating Discrete Wavelet Transform (DWT) and Artificial Neural Network (ANN) algorithms; Case study: Tehran-Qazvin freeway

Geocarto International ◽

10.1080/10106049.2021.1871669 ◽

2021 ◽

pp. 1-12

Author(s):

Reza Sanayei ◽

Alireza Vafaeinejad ◽

Jalal Karami ◽

Hossein Aghamohammadi Zanjirabad

Keyword(s):

Neural Network ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Model Development ◽

Discrete Wavelet ◽

Artificial Neural ◽

Artificial Neural Network Ann

2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA) ◽

Hybrid Feature Extraction Based Brain Tumor Classification using an Artificial Neural Network

10.1109/iccca49541.2020.9250760 ◽

2020 ◽

Author(s):

Khaleda Akhter Sathi ◽

Md. Saiful Islam

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Brain Tumor ◽

Tumor Classification ◽

Hybrid Feature Extraction ◽

Fault diagnosis in distribution power systems using stationary wavelet transform and artificial neural network

2017 7th International Conference on Power Systems (ICPS) ◽

10.1109/icpes.2017.8387279 ◽

2017 ◽

Cited By ~ 1

Author(s):

Himadri Lala ◽

Subrata Karmakar ◽

Sanjib Ganguly

Keyword(s):

Neural Network ◽

Wavelet Transform ◽

Fault Diagnosis ◽

Power Systems ◽

Stationary Wavelet Transform ◽

Artificial neural network coupled with wavelet transform for estimating snow water equivalent using passive microwave data

Journal of Earth System Science ◽

10.1007/s12040-014-0485-1 ◽

2014 ◽

Vol 123 (7) ◽

pp. 1591-1601 ◽

Cited By ~ 2

Author(s):

A B Dariane ◽

S Azimi ◽

A Zakerinejad

Keyword(s):

Neural Network ◽

Wavelet Transform ◽

Snow Water Equivalent ◽

Passive Microwave ◽

Snow Water ◽

Artificial Neural ◽

Microwave Data

Application of wavelet transform coupled with artificial neural network for predicting physicochemical properties of osmotically dehydrated pumpkin

Journal of Food Engineering ◽

10.1016/j.jfoodeng.2008.06.033 ◽

2009 ◽

Vol 90 (2) ◽

pp. 219-227 ◽

Cited By ~ 36

Author(s):

M. Shafafi Zenoozian ◽

Sakamon Devahastin

Keyword(s):

Neural Network ◽

Wavelet Transform ◽

Physicochemical Properties ◽