Multi-threshold dimension vector for texture analysis and its application to liver tissue classification
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference20 articles.
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2. A structural analyzer for a class of textures;Tsuji;Comput. Graphics Image Process.,1973
3. Texture features for image classification;Haralick;IEEE Trans. Syst. Man Cybern. SMC-3,1973
4. A comparative study of texture measures for terrain classification;Wesaka;IEEE Trans. Syst. Man Cybern. SMC-6,1976
5. The use of Markov random fields as models for texture;Hassner;Comput. Graphics Image Process.,1980
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1. Text Detection Based on MSER and CNN Features;2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR);2017-11
2. Evolution-Based Hierarchical Feature Fusion for Ultrasonic Liver Tissue Characterization;IEEE Journal of Biomedical and Health Informatics;2013-09
3. SVM-Based Characterization of Liver Ultrasound Images Using Wavelet Packet Texture Descriptors;Journal of Digital Imaging;2012-10-11
4. Ultrasonic liver tissue characterization by feature fusion;Expert Systems with Applications;2012-08
5. Texture Analysis of Aggressive and Nonaggressive Lung Tumor CE CT Images;IEEE Transactions on Biomedical Engineering;2008-07
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