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
Applications and limitations of radiomics
TL;DR: This technical review will review radiomic application areas and technical issues, as well as proper practices for the designs of radiomic studies.
Journal ArticleDOI
Machine Learning methods for Quantitative Radiomic Biomarkers
Chintan Parmar,Chintan Parmar,Patrick Grossmann,Johan Bussink,Philippe Lambin,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts +6 more
TL;DR: Identification of optimal machine-learning methods for radiomic applications is a crucial step towards stable and clinically relevant radiomic biomarkers, providing a non-invasive way of quantifying and monitoring tumor-phenotypic characteristics in clinical practice.
Journal ArticleDOI
A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study
Roger Sun,Roger Sun,Elaine Johanna Limkin,Elaine Johanna Limkin,Maria Vakalopoulou,Maria Vakalopoulou,Laurent Dercle,Laurent Dercle,Stéphane Champiat,Shan Rong Han,Loic Verlingue,David Brandao,Andrea Lancia,Andrea Lancia,Andrea Lancia,Samy Ammari,Antoine Hollebecque,Jean-Yves Scoazec,Jean-Yves Scoazec,Aurélien Marabelle,Christophe Massard,Jean-Charles Soria,Jean-Charles Soria,Charlotte Robert,Nikos Paragios,Nikos Paragios,Eric Deutsch,Charles Ferté,Charles Ferté +28 more
TL;DR: A radiomic signature predictive of immunotherapy response by combining contrast-enhanced CT images and RNA-seq genomic data from tumour biopsies to assess CD8 cell tumour infiltration was developed and validated.
Journal ArticleDOI
A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities.
TL;DR: Univariate analysis showed that the isotropic voxel size at which texture features were extracted had the most impact on predictive value, and in multivariable analysis, texture features extracted from fused scans significantly outperformed those from separate scans in terms of lung metastases prediction estimates.
Journal ArticleDOI
Texture information in run-length matrices
TL;DR: A multilevel dominant eigenvector estimation algorithm is used to develop a new run-length texture feature extraction algorithm that preserves much of the texture information in run- lengths matrices and significantly improves image classification accuracy over traditional run- length techniques.
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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