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
Computerized texture analysis of carotid plaque ultrasonic images can identify unstable plaques associated with ipsilateral neurological symptoms.
Stavros K. Kakkos,Andrew N. Nicolaides,Efthyvoulos Kyriacou,Stella S. Daskalopoulou,Michael M. Sabetai,Constantinos S. Pattichis,George Geroulakos,Maura Griffin,D. J. Thomas +8 more
TL;DR: Texture analysis can identify carotid plaques associated with a neurological event, improving the diagnostic value of echolucency measures and could be applied to natural history studies.
Journal ArticleDOI
Multi-View Probabilistic Classification of Breast Microcalcifications
TL;DR: A two-step classification method that is based on a view-level decision, implemented by a logistic regression classifier, followed by a stochastic combination of the two view- level indications into a single benign or malignant decision is described.
Journal ArticleDOI
Breast masses: computer-aided diagnosis with serial mammograms.
Lubomir M. Hadjiiski,Berkman Sahiner,Mark A. Helvie,Heang Ping Chan,Marilyn A. Roubidoux,Chintana Paramagul,Caroline E. Blane,Nicholas Petrick,Janet E. Bailey,Katherine A. Klein,Michelle Foster,Stephanie K. Patterson,Dorit D. Adler,Alexis V. Nees,Joseph Shen +14 more
TL;DR: CAD involving interval change analysis of preselected regions of interest can significantly improve radiologists' accuracy in classifying masses on digitized screen-film mammograms as malignant or benign.
Journal ArticleDOI
Computer-Aided Diagnosis of Lung Nodules on CT Scans: . ROC Study of Its Effect on Radiologists' Performance
Ted W. Way,Heang Ping Chan,Lubomir M. Hadjiiski,Berkman Sahiner,Aamer Chughtai,Thomas Song,Chad Poopat,Jadranka Stojanovska,Luba Frank,Anil K. Attili,Naama Bogot,Philip N. Cascade,Ella A. Kazerooni +12 more
TL;DR: Computer-aided diagnosis has the potential to increase radiologists' accuracy in assessing the likelihood of malignancy of lung nodules on CT imaging.
Journal ArticleDOI
Supervised retinal vessel segmentation from color fundus images based on matched filtering and AdaBoost classifier.
TL;DR: An automatic retinal vessel segmentation method utilizing matched filter techniques coupled with an AdaBoost classifier is proposed, comparable to other state of the art methods while being very close to the manual segmentation provided by the second human observer.
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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