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
The augmented radiologist: artificial intelligence in the practice of radiology
Erich Sorantin,Michael Georg Grasser,Ariane Hemmelmayr,Sebastian Tschauner,Franko Hrzic,Veronika Weiss,Jana Lacekova,Andreas Holzinger +7 more
TL;DR: In this article, the authors present a new AI type, labeled explainable AI, which should enable a balance/cooperation between AI and human intelligence, thus bringing both worlds in compliance with legal requirements.
Proceedings ArticleDOI
Some theoretical considerations concerning texture analysis of radiographic images
R. Conners,Charles A. Harlow +1 more
TL;DR: The purpose of this paper is to present a theoretical comparison of the "innate" abilities of four texture analysis algorithms to do automated texture discrimination.
Journal ArticleDOI
Imagerie médicale computationnelle (radiomique) et potentiel en immuno-oncologie
Roger Sun,Roger Sun,Elaine Johanna Limkin,Laurent Dercle,Sylvain Reuzé,Evangelia I. Zacharaki,Cyrus Chargari,Antoine Schernberg,Anne-Sophie Dirand,A. Alexis,N. Paragios,Eric Deutsch,Charles Ferté,Charlotte Robert +13 more
TL;DR: In this article, the authors present a review of computational imaging analysis and present its potential in immuno-oncology, focusing on the identification of biomarkers to determine precociously responding patients.
Journal ArticleDOI
Interpretation of radiomics features–A pictorial review
TL;DR: In this article , a review of commonly used radiomics features are illustrated with practical examples to help physicians in their routine diagnostic procedures to determine how their values correlate with the appearance of lesions and diseases.
Journal ArticleDOI
Identification of a low-risk group of stage I breast cancer patients by cytometrically assessed DNA and nuclear texture parameters.
Michaela Aubele,Gert Auer,Ursula G. Falkmer,Andreas Voss,Karsten Rodenacker,Uta Jütting,Heinz Höfler +6 more
TL;DR: A combination of DNA and textural parameters can provide powerful prognostic information in stage I breast carcinomas and may allow a better selection of patients for different therapy protocols.
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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