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.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
Detection of underlying characteristics of nuclear chromatin patterns of thyroid tumor cells using texture and factor analyses
Shin-ichi Murata,Shin-ichi Murata,Kunio Mochizuki,Tadao Nakazawa,Tetsuo Kondo,Nobuki Nakamura,Hiroto Yamashita,Yoji Urata,Tsukasa Ashihara,Ryohei Katoh +9 more
TL;DR: This technique, using texture and factor analyses, is useful in the detection of underlying characteristics of nuclear chromatin patterns in aspiration biopsy cytology, and nuclei of papillary carcinoma showed higher contrast of Chromatin patterns than did those of the benign group.
Journal ArticleDOI
Integrating radiologist feedback with computer aided diagnostic systems for breast cancer risk prediction in ultrasonic images: An experimental investigation in machine learning paradigm
TL;DR: Improving the clinical efficiency of ultrasound based CAD systems for classification of breast lesions by integrating back-propagation artificial neural network (BPANN), support vector machine (SVM) and radiologist feedback and integrating expert opinion in CAD systems improves its overall performance.
Journal ArticleDOI
Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis.
Rachel B. Ger,Daniel F. Craft,Dennis S. Mackin,Shouhao Zhou,Rick R. Layman,A. Kyle Jones,Hesham Elhalawani,Clifton D. Fuller,Rebecca M. Howell,Heng Li,R. Jason Stafford,Laurence E. Court +11 more
TL;DR: It is concluded that simply removing slices affected by streak artifacts can enable these scans to be included in radiomics studies and that contours of structures can abut bone without being affected by beam hardening if needed.
Journal ArticleDOI
Hybrid approach to classification of focal and diffused liver disorders using ultrasound images with wavelets and texture features
TL;DR: The proposed technique, which is an application of texture feature extraction on transform domain images, gives an overall classification accuracy of 91% for a combination of ten classes of similar looking diseases which is appreciable than the spatial domain only techniques for liver disease classification from ultrasound images.
Journal ArticleDOI
Risk stratification of 2D ultrasound-based breast lesions using hybrid feature selection in machine learning paradigm
TL;DR: A new hybrid feature selection scheme is used to determine most relevant features for classification of benign and malignant tumors in breast ultrasound images to achieve significantly higher classification accuracy.
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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