Journal ArticleDOI
Texture analysis using gray level run lengths
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TLDR
In this paper, a set of texture features based on gray level run lengths is described, and good classification results are obtained with these features on a sets of samples representing nine terrain types.About:
This article is published in Computer Graphics and Image Processing.The article was published on 1975-06-01. It has received 1848 citations till now. The article focuses on the topics: Image texture & Texture (geology).read more
Citations
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Journal ArticleDOI
Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features
Erick Costa de Farias,Christian di Noia,Changhee Han,Evis Sala,Mauro Castelli,Leonardo Rundo +5 more
TL;DR: In this article, a Generative Adversarial Network (GAN)-based lesion-focused framework for computed tomography (CT) image super-resolution (SR) is proposed, which incorporates spatial pyramid pooling (SPP) into GAN-Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE).
Journal ArticleDOI
Second-order Texture Measurements of (3)He Ventilation MRI: Proof-of-concept Evaluation of Asthma Bronchodilator Response
Nanxi Zha,Damien Pike,Sarah Svenningsen,Sarah Svenningsen,Dante P. I. Capaldi,Dante P. I. Capaldi,David G. McCormack,Grace Parraga,Grace Parraga +8 more
TL;DR: In patients with asthma, differences in ventilation patchiness post-salbutamol can be quantified using coarse-texture classifiers that are significantly different in bronchodilator responders.
Journal ArticleDOI
High-Performance CAD-CTC Scheme Using Shape Index, Multiscale Enhancement Filters, and Radiomic Features
TL;DR: Experimental results indicate that the proposed CAD-CTC scheme can achieve high sensitivity while maintaining a low FP rate, and would be a beneficial tool in clinical colon examination.
Proceedings ArticleDOI
Selection of optimal texture descriptors for retrieving ultrasound medical images
TL;DR: The proposed feature selection based approach of image annotation and retrieval has been tested using a database of 679 ultrasound ovarian images and satisfactory retrieval performance has been achieved.
Journal ArticleDOI
Automatic stratification of prostate tumour aggressiveness using multiparametric MRI: a horizontal comparison of texture features.
Yu Sun,Hayley M. Reynolds,Hayley M. Reynolds,Darren Wraith,Scott Williams,Scott Williams,Mary E. Finnegan,Catherine Mitchell,Declan G. Murphy,Annette Haworth,Annette Haworth +10 more
TL;DR: Investigating the improvement of incorporating texture features from T2-weighted (T2w) multiparametric magnetic resonance imaging (mpMRI) relative to mpMRI alone to predict HG and LG disease significantly improved model performance for classifying prostate tumour aggressiveness.
References
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Journal ArticleDOI
Textural Features for Image Classification
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
Journal ArticleDOI
Gray-Level Manipulation Experiments for Texture Analysis
TL;DR: Some gray-level manipulation techniques are described, the first of which involves changing thegray-level distribution within the picture, and a method for extracting relatively noise-free objects from a noisy background is described.
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