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Journal of Signal and Information Processing

Journal of Signal and Information Processing

Journal of Signal and Information Processing

ISSN Print: 2159-4465
ISSN Online: 2159-4481
www.scirp.org/journal/jsip
E-mail: jsip@scirp.org
"First and Second Order Statistics Features for Classification of Magnetic Resonance Brain Images"
written by Namita Aggarwal, R. K. Agrawal,
published by Journal of Signal and Information Processing, Vol.3 No.2, 2012
has been cited by the following article(s):
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[253] Texture analysis of multimodal magnetic resonance images in support of diagnostic classification of childhood brain tumours
Thesis, 2015
[254] ANALYSIS OF SATELLITE IMAGES USING DISCRETE WAVELET TRANSFORM FOR BETTER PSNR VALUE
International Journal of Advance Research In Science And Engineering, 2015
[255] Human detection and Recognition System
2015
[256] Automated Prostate Cancer Localisation Using Multiparametric MRI
2014
[257] TOWARDS A HYBRID STATISTICAL FEATURE EXTRACTION AND HIERARCHICAL CLASSIFICATION MODEL FOR DIABETIC RETINOPATHY DIAGNOSIS
2014
[258] An SVM-based classifier for estimating the state of various rotating components in agro-Industrial machinery with a vibration signal acquired from a single …
Sensors, 2014
[259] Classification of hematomas in brain CT images using neural network
2014
[260] Detection of Early Changes in White Matter Degeneration Using Texture Analysis of Magnetic Resonance Images
Doctoral dissertation, 2014
[261] An SVM-Based Classifier for Estimating the State of Various Rotating Components in Agro-Industrial Machinery with a Vibration Signal Acquired from a Single Point on the Machine Chassis
Sensors, 2014
[262] Speckle characterization methods in ultrasound images–A review
IRBM, 2014
[263] Machine Learning Techniques for Remote Healthcare
Systems Design for Remote Healthcare, 2014
[264] ELECTROCARDIOGRAM BEAT CLASSIFICATION USING S-TRANSFORM BASED FEATURE SET
Journal of Mechanics in Medicine and Biology, 2014
[265] Analysis of Skin Inheritance Using FOS
Signal and Image Processing (ICSIP), 2014 Fifth International Conference on. IEEE, 2014
[266] Fractal analysis of the structural complexity of the connective tissue in human carotid bodies
Frontiers in physiology, 2014
[267] Інженерні методи діагностики хвороби Альцгеймера
Электроника и связь, 2014
[268] Semantic Place Recognition Based on Unsupervised Deep Learning of Spatial Sparse Features
International Conference and Exhibition on Electronic, Computer and Automation Technologies, 2014
[269] Self Study Report
HORTICULTURE, 2014
[270] Использование преобразования Карунена-Лоэва для анализа МРТ-изображений человека
2014
[271] An SVM-based classifier for estimating the state of various rotating components in agro-industrial machinery with a vibration signal acquired from a single point on the …
2014
[272] Ultrasound Image Processing for CAD and Other Applications
2014
[273] A Texture and Curvature Bimodal Leaf Recognition Model for Costa Rican Plant Species Identification
2014
[274] Effect of normalization on feature extraction and classification in Deep Belief Networks
2013
[275] Automatic Fungal Disease Detection based on Wavelet Feature Extraction and PCA Analysis in Commercial Crops
International Journal of Image, Graphics and Signal Processing (IJIGSP), 2013
[276] Feature Extraction and Classification of High Resolution Satellite Images using GLCM and Back Propagation Technique
Entropy, 2013
[277] Robot semantic place recognition based on deep belief networks and a direct use of tiny images
Universite Paris Sud - Paris XI, 2012
[278] SUPERVISED LEARNING APPROACH FOR BRAIN STROKE CLASSIFICATION USING DEEP LEARNING TECHNIQUES
[279] Hyperspectral crop image classification via ensemble of classification model with optimal training
[280] Efficient Supervised Classifier for Disease Predictions in Apple Leaf
[281] Advances in Knowledge Discovery and Data Mining: 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan …
[282] DEEP ARCHITECTURE FOR DIAGNOSIS OF PNEUMONIA IN THORACIC IMAGES
[283] Image Processing and Machine Learning on Chest X-Ray Dataset
[284] Waste management from hawthorn fruit based on ripeness level using 2 machine vision and deep learning approach
R Azadnia, S Fouladi
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