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
Reproducibility and Prognosis of Quantitative Features Extracted from CT Images.
Yoganand Balagurunathan,Yuhua Gu,Hua Wang,Virendra Kumar,Olya Grove,Sam Hawkins,Jongphil Kim,Dmitry B. Goldgof,Lawrence O. Hall,Robert A. Gatenby,Robert J. Gillies +10 more
TL;DR: This study studies the reproducibility of quantitative imaging features that are used to describe tumor shape, size, and texture from computed tomography scans of non-small cell lung cancer (NSCLC).
Journal ArticleDOI
Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures.
TL;DR: An overview of the current challenges, technical routines and protocols that are involved in quantitative imaging studies is presented, which emphasizes the importance of proper feature selection and prediction model-building routines to prevent overfitting.
Journal ArticleDOI
Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches
Mu Zhou,Jacob G. Scott,Baishali Chaudhury,Lawrence O. Hall,Dmitry B. Goldgof,Kristen W. Yeom,Yangming Ou,Jayashree Kalpathy-Cramer,Sandy Napel,Robert J. Gillies,Olivier Gevaert,Robert A. Gatenby +11 more
TL;DR: A cross-disciplinary approach is used to highlight studies in radiomics through computational models that provide novel clinical insights and outline current quantitative image feature extraction and prediction strategies with different levels of available clinical classes for supporting clinical decision-making.
Proceedings Article
Texture indexes and gray level size zone matrix. Application to cell nuclei classification
Guillaume Thibault,Bernard Fertil,Claire Navarro,Sandrine Pereira,Pierre Cau,Nicolas Lévy,Jean Sequeira,Jean-Luc Mari +7 more
TL;DR: A study on the characterization and the classification of textures using a set of values obtained by the computation of indexes, which are proposed to classify cells nuclei in order to diagnose patients affected by the Progeria disease.
Dual system approach to computerâ aided detection of breast masses on mammograms
Jun Wei,Heang Ping Chan,Berkman Sahiner,Lubomir M. Hadjiiski,Mark A. Helvie,Marilyn A. Roubidoux,Chuan Zhou,Jun Ge +7 more
TL;DR: Improvements on the free response receiver operating characteristic curves were observed when the dual system and the single system were compared using the test sets with either average masses or subtle masses.
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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