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
Subvisual changes in chromatin organization state are detected by karyometry in the histologically normal urothelium in patients with synchronous papillary carcinoma.
Rodolfo Montironi,Marina Scarpelli,Roberta Mazzucchelli,Peter W. Hamilton,Deborah Thompson,James Ranger-Moore,David G. Bostwick,Peter H. Bartels +7 more
TL;DR: In this article, the chromatin organization state in histologically normal urothelium in patients with synchronous papillary carcinoma using digital texture analysis was analyzed, and it was shown that the abnormal pattern and distribution of the nuclear chromatin was seen in the normal-looking urohelialium from the 17 bladders with papillary lesions.
Journal ArticleDOI
Automated glioma detection and segmentation using graphical models
TL;DR: A framework is constructed to learn structure of undirected graphical models that can represent the spatial relationships among variables and apply it to glioma segmentation to develop a better clinical decision support algorithm for clinicians diagnosis.
Journal ArticleDOI
Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis
TL;DR: A new latent feature representation boosted by depth directional long-term recurrent learning for characterizing malignant masses and devised three objective functions aiming to minimize classification error, minimize intra-class variation within the same class, and preserve feature representation consistency in a central slice are proposed.
Journal ArticleDOI
Rapid identification of human ovarian cancer in second harmonic generation images using radiomics feature analyses and tree-based pipeline optimization tool.
Guangxing Wang,Guangxing Wang,Yang Sun,Youting Chen,Qiqi Gao,Dongqing Peng,Hongxin Lin,Zhenlin Zhan,Zhiyi Liu,Shuangmu Zhuo,Shuangmu Zhuo +10 more
TL;DR: This study utilizes radiomics feature extraction methods and the automated machine learning tree‐based pipeline optimization tool (TOPT) for analysis of 3D, second harmonic generation images of benign, malignant and normal human ovarian tissues, to develop a high‐efficiency computer‐aided diagnostic model.
Journal ArticleDOI
Technical Note: An IBEX adaption toward image biomarker standardization.
TL;DR: This work presents and validates S-IBEX, a free IBSI-compliant software, developed upon IBEX, for feature extraction that is both easy to use and quantitatively accurate.
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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