Journal ArticleDOI
Texture analysis using gray level run lengths
Reads0
Chats0
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
More filters
Journal ArticleDOI
Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients.
TL;DR: Both 2D and 3D radiomics signature have favorable prognosis, but 3D signature had a better performance, which further improved the predicted accuracy of survival prognosis for the patients with NSCLC.
Journal ArticleDOI
Malignancy characterization of hepatocellular carcinomas based on texture analysis of contrast‐enhanced MR images
TL;DR: To investigate the performance of texture analysis in characterizing malignancy of hepatocellular carcinomas (HCCs) based on contrast‐enhanced magnetic resonance imaging (MRI).
Journal ArticleDOI
Improving classification performance of breast lesions on ultrasonography
Wilfrido Gómez Flores,Wagner Coelho de Albuquerque Pereira,Antonio Fernando Catelli Infantosi +2 more
TL;DR: Different morphological and texture features widely used in computer-aided diagnosis systems for BUS images are compiled and evaluated for classifying breast lesions on ultrasound, revealing the best classification performance is obtained by a morphological set with five features.
Journal ArticleDOI
Robustness of Radiomic Features in [(11)C]Choline and [(18)F]FDG PET/CT Imaging of Nasopharyngeal Carcinoma: Impact of Segmentation and Discretization.
TL;DR: The robustness of the features was evaluated via the intraclass correlation coefficient (ICC) for seven kinds of segmentation methods and five kinds of discretization bin size and found that features extracted from [11C]choline were more robust than [18F]FDG for segmentation.
Journal ArticleDOI
Parenchymal texture analysis in digital mammography: A fully automated pipeline for breast cancer risk assessment
Yuanjie Zheng,Brad M. Keller,Shonket Ray,Yan Wang,Emily F. Conant,James C. Gee,Despina Kontos +6 more
TL;DR: The proposed lattice-based strategy for mammographic texture analysis enables to characterize the parenchymal pattern over the entire breast and provide richer information compared to currently used descriptors and may ultimately improve breast cancer risk assessment.
References
More filters
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.
Related Papers (5)
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Hugo J.W.L. Aerts,Emmanuel Rios Velazquez,Ralph T.H. Leijenaar,Chintan Parmar,Patrick Grossmann,Sara Carvalho,Sara Cavalho,Johan Bussink,René Monshouwer,Benjamin Haibe-Kains,Derek H. F. Rietveld,Frank J. P. Hoebers,Michelle M. Rietbergen,C. René Leemans,Andre Dekker,John Quackenbush,Robert J. Gillies,Philippe Lambin +17 more