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Results 1 - 10
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3,549
Automated Segmentation of Multiple Sclerosis Lesions by . . .
, 2000
"... Quantitative analysis of MR images is becoming increasingly important in clinical trials in multiple sclerosis (MS). This paper describes a fully automated atlas-based technique for segmenting MS lesions from large data sets of multi-channel MR images. The method simultaneously estimates the paramet ..."
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Cited by 90 (8 self)
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Quantitative analysis of MR images is becoming increasingly important in clinical trials in multiple sclerosis (MS). This paper describes a fully automated atlas-based technique for segmenting MS lesions from large data sets of multi-channel MR images. The method simultaneously estimates
Automated Segmentation and Registration of Dermatological Images
- International Conference on Parallel and Distributed Processing Techniques and Applications, Las Vegas
"... During the last years, there has been a significant increase in the level of interest in image morphology, full-color image processing, image data compression, image recognition and knowledge based analysis systems for medical images. This paper describes the implementation and tests the efficiency ..."
Abstract
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Cited by 3 (2 self)
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of algorithms dealing with the issues of segmentation and registration of digital images containing skin lesions. Those steps are considered of great importance in computer based characterization systems as they are responsible for the isolation of pathological findings and the matching of sequential images
An Automated Segmentation Method for Tumor Detection in
"... Abstract: Image segmentation is an important stage in ultrasound computer aided diagnosis (CAD) systems. In this article, we have adapted morphological segmentation method to segment breast ultrasound images which are characterized by low contrast and degraded by speckle noise. The proposed method u ..."
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Abstract: Image segmentation is an important stage in ultrasound computer aided diagnosis (CAD) systems. In this article, we have adapted morphological segmentation method to segment breast ultrasound images which are characterized by low contrast and degraded by speckle noise. The proposed method
Automated Segmentation Tool for Brain Infusions
, 2012
"... This study presents a computational tool for auto-segmenting the distribution of brain infusions observed by magnetic resonance imaging. Clinical usage of direct infusion is increasing as physicians recognize the need to attain high drug concentrations in the target structure with minimal off-target ..."
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This study presents a computational tool for auto-segmenting the distribution of brain infusions observed by magnetic resonance imaging. Clinical usage of direct infusion is increasing as physicians recognize the need to attain high drug concentrations in the target structure with minimal off
Automated Segmentation and extraction of Literature Citations
"... experiment data presented in this thesis are real. ..."
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
- IEEE TRANSACTIONS ON MEDICAL. IMAGING
, 2001
"... The finite mixture (FM) model is the most commonly used model for statistical segmentation of brain magnetic resonance (MR) images because of its simple mathematical form and the piecewise constant nature of ideal brain MR images. However, being a histogram-based model, the FM has an intrinsic limi ..."
Abstract
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Cited by 639 (15 self)
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, the HMRF-EM framework can easily be combined with other techniques. As an example, we show how the bias field correction algorithm of Guillemaud and Brady (1997) can be incorporated into this framework to achieve a three-dimensional fully automated approach for brain MR image segmentation.
Automated Segmentation for Quantitative Analysis of Breast Thermograms
"... Abstract Thermography in breast cancer detection presents promising diagnosis when used as a first line screening tool in adjunct to mammography. A thermogram consists of various regions such as patient's arms, chest and breasts. Segmentation of the breast region is an important step in classi ..."
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in classification of normal and abnormal thermogram. This paper deals with image pre-processing using inpaint algorithm and automated segmentation of breast regions using anisotropic diffusion filter along with level-set evolution without reinitialization. Three types of breast thermograms which include one normal
ECHOCARDIOGRAPHIC SIMULATION FOR VALIDATION OF AUTOMATED SEGMENTATION METHODS
"... Segmentation of echocardiographic imagery is central to the understanding, diagnosis, and treatment of cardiovascular disease. Although volumes of literature have been devoted to automated image segmentation, little work has been directed towards the validation of these techniques. An echocardiograp ..."
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Cited by 3 (0 self)
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Segmentation of echocardiographic imagery is central to the understanding, diagnosis, and treatment of cardiovascular disease. Although volumes of literature have been devoted to automated image segmentation, little work has been directed towards the validation of these techniques
System for the Automated Segmentation of Heads from Arbitrary Background
"... Abstract. We propose a system for the fully automated segmentation of frontal human head portraits from arbitrary unknown background. No user interaction is required at all, since the system is initialized using a standard eye detector. Using this semantic information, the head region is projected i ..."
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Abstract. We propose a system for the fully automated segmentation of frontal human head portraits from arbitrary unknown background. No user interaction is required at all, since the system is initialized using a standard eye detector. Using this semantic information, the head region is projected
1 Parametric Surface Modeling and Registration for Comparison of Manual and Automated Segmentation of the Hippocampus
"... This is the pre-peer reviewed version of the following article: Parametric surface modeling and registration for comparison of manual and automated segmentation of the hippocampus by Shen ..."
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This is the pre-peer reviewed version of the following article: Parametric surface modeling and registration for comparison of manual and automated segmentation of the hippocampus by Shen
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