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Journal ArticleDOI

Texture analysis using gray level run lengths

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.
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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).

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Book ChapterDOI

MRI Texture Analysis for Differentiation Between Healthy and Golden Retriever Muscular Dystrophy Dogs at Different Phases of Disease Evolution

TL;DR: A texture analysis is applied to T2-weighted Magnetic Resonance Images of canine pelvic limbs in order to differentiate between Golden Retriever Muscular Dystrophy dogs and healthy ones.
Journal ArticleDOI

Genetic fuzzy rule based classification systems for coronary plaque characterization based on intravascular ultrasound images

TL;DR: A new image-based methodology for plaque assessment is suggested in this paper that differentiates tissue components into four classes: calcium, necrotic core, fibrous and fibro-lipid, using a genetic fuzzy rule-based classification system (GFRBCS) that is able to handle effectively highly-dimensional feature spaces.
Journal ArticleDOI

Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: A pilot study

TL;DR: The radiomic-derived model leveraging LN texture provides better preoperative diagnostic accuracy for the detection of metastatic LNs compared to the clinically accepted diagnostic criteria and patient-demographic model.
Journal ArticleDOI

Correlating Radiomic Features of Heterogeneity on CT with Circulating Tumor DNA in Metastatic Melanoma

TL;DR: The results show that radiomics features can predict ctDNA levels in patients with metastatic melanoma even when controlling for confounding influences such as tumor volume, and suggest that radiomic features and ct DNAmaf may serve as complementary clinical tools for treatment monitoring.
Journal ArticleDOI

Power LBP: A Novel Texture Operator for Smiling and Neutral Facial Display Classification☆

TL;DR: A novel texture operator called power LBP is introduced, which defines a new ordering schema based on absolute intensity differences, which is evaluated on the problem of smiling and neutral facial display recognition.
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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