mammographic images
Synthesis of Mammographic Images Based on the Fractional Brownian Motion
... The present work deals with ROIs of mammogram modeling based on the fBm process. Synthetic ROIs with microcalcifications and healthy ones were generated. Two types of tissues (fatty and dense) and the two types of ...
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Mammographic images segmentation based on chaotic map clustering algorithm
... of mammographic images, in an effi- cient automatic work-flow, in comparison with the results obtained by alternative methods as those used by present day commercial CAD ...
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HISTOGRAM NORMALIZATION TECHNIQUE FOR PREPROCESSING OF DIGITAL MAMMOGRAPHIC IMAGES
... these images requires high computational ...captured mammographic image ...from Mammographic Image Analysis Society (MIAS) database and uses Histogram Normalization algorithm for pre-processing of ...
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A computer aided detection framework for mammographic images using fisher linear discriminant and nearest neighbor classifier
... In this work, we develop a CAD system that confi- dently provides the radiologist a second reader opinion about mammographic images. The proposed CAD sys- tem integrates PCA as a decorrelation-based module, ...
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Mammographic Images Segmentation using Superpixel
... The images segmentation is a very important step for the area of image analysis and has the objective of separating regions of an image according to the objects represented in ...resolution mammographic ...
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Characterizing mammographic images by using generic texture features
... To study the additional value of the feature groups for predicting case-control status, these feature group scores were applied in multiple logistic regression models along with the well[r] ...
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Implementation on Breast Cancer Detection Using Mammographic Images
... Adaptive Median filter: Adaptive Median filtering used to smooth the non repulsive noise from two- dimensional signals without blurring edges and preserved images. This filter makes it suitable for enhancing ...
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Detection of Tumor in Mammographic Images by RBF Neural Network and Multi Population Genetic Algorithm
... medical images; hybridization between fuzzy logic, NNs and expert system was achieved, where the fuzzy-neural approach detects the areas suspect which will be after validate by an expert system ...
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Mammographic density defined by higher than conventional brightness threshold better predicts breast cancer risk for full field digital mammograms
... Mammographic images were obtained using the proc- essed full-field digital mammography system (Senograph 2000D/DMR/DS, General Electric Company, Milwaukee, WI, USA or Selenia, Hologic ...
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Luminosity and Brightness Control Enhancement of Mammograms
... color images by converting the colour image into HSV format as “ HUE(H) , SATURATION(S) , VALUE(V) ” and enhancement technique is only apply on the V channel ...of mammographic images, proposed a two ...
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Measurement challenge: protocol for international case–control comparison of mammographic measures that predict breast cancer risk
... standardising mammographic images from different populations includes providing a large set of images with which to refine and assess new or existing mammographic measurement ...different ...
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Mammographic image Classification using Gabor Wavelet
... mammogram images in two ...dense mammographic images, originating from the MIAS ...from mammographic images using Gabor Wavelet, dimensionality reduction using PCA and classification ...
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Involution of breast tissue and mammographic density
... larger degree of involution may not have more fatty tis- sue but rather a higher proportion of stromal tissue. Thus, the mammographic images appear radiographic- ally dense despite being poor in epithelial ...
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Mammographic phantom images using receiver operating characteristic analysis
... Quantitative imaging has an important role in developing image analysis methods to extract quantitative data more accurately in detection and diagnosis (Giger, 2008). Receiver Operating Characteristic (ROC) analysis is ...
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Computer Aided Identification and Analysis of Fibro adenomas
... enhanced mammographic images will also remove false positives of the lesion region detection ...involve images taken at different time oscillation of the ...
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Mammographic density assessed on paired raw and processed digital images and on paired screen film and digital images across three mammography systems
... SFM images than in raw or processed digital images [22], including one in which the digital and the SFM were taken on the same day ...SFM images, indicating that lower PMD assessment may be a product ...
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Mammographic breast density in infertile and parous women
... of mammographic density in the projected area, divided into six categor- ies of unequal intervals: type A: 0 %; type B: 0-10 %; type C:10-25 %; type D: 25-50 %; type E: 50-75 % and type F: >75 ...
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Plasma levels of leptin and mammographic density among postmenopausal women: a cross sectional study
... and mammographic density modified by hormone use (categorized as current use/non-current use; P for interaction = ...and mammographic density in our analyses, and should as such not be adjusted ...
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Mammogram Classification using Curvelet Coefficients and Gray Level Co Occurrence Matrix for Detection of Breast Cancer
... proposed mammographic image classification method consists of four prime modules, such as region of interest (ROI) extraction, feature extraction, feature selection, and ...on mammographic ROI images ...
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Mammographic density
... All current methods of assessment use only the two dimensions of the mammogram, and none take into account variations in image production or processing. Despite this, the methods have all been shown to have an ...
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