[PDF] Top 20 Automatic Analysis of Mammography Images: Classification of Breast Density
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Automatic Analysis of Mammography Images: Classification of Breast Density
... differential analysis of bilateral mammographic ...registered images, and the second method was based on the statistical differences between properties of corresponding ...mammographic ... See full document
110
A Review of Segmentation of Mammographic Images Based on Breast Density
... point of view for image processing algorithms is the ability to achieve enhanced visualizations of anatomical structure, while preserving the detail of the ...the classification and ... See full document
5
Development of an automatic tool for dose management in digital mammography
... number of patients that are usually scanned in a mammography service, and taking into account the fact that at least four images are acquired for every patient (two for each breast), it is not ... See full document
13
Radiometric Normalization of Temporal Images Combining Automatic Detection of Pseudo-Invariant Features from the Distance and Similarity Spectral Measures, Density Scatterplot Analysis, and Robust Regression
... After classification using threshold values, it is possible to define points with the same spectral behavior, including ...a density plot generated from images acquired on different dates for the ... See full document
32
Automatic Detection of Anatomical Structures and Breast Cancer Diagnosis on X-Ray Mammography
... patches of the breast regions to train a Convolutional Neural Networks (CNN) model to perform inference in similar ...and classification was ...introduction of dilated convolution to identify ... See full document
184
Automatic quantification and classification of breast density in 2D ultrasound images
... set of 85 breast ultrasound ...values of breast density obtained using the BDthr128 and BDthrAuto algorithms considering the three rectangular image selections made in 11 breast ... See full document
105
Automatic analysis of mammography images : enhancement and segmentation techniques
... technique of image segmentation which seeks for local minimum ...contour of the object. Thus, an initial segmentation of the image is required in order to provide the initial active ...the ... See full document
152
Automatic Nutritional Information Extraction from Photographic Images of Labels
... end of 2013, according to the market research firm eMarketer, almost 20% of the world population owned a smartphone, and it is estimated that by 2017 this number will raise to one third ...May of ... See full document
89
Identification of Breast Cancer Using Integrated Information from MRI and Mammography.
... detecting breast carcinoma [10 – ...81% of the sensitivity and 53% of specificity in our patient ...diagnosis of breast cancer can be improved by the com- bined information of ... See full document
11
Automatic Orientation of Multi-Scale Terrestrial Images for 3D Reconstruction
... variety of applications that require ground control points (GCPs) in their ...Examples of the relevance of ground control in the field of remote sensing are briefly discussed ...averages ... See full document
21
Quantitative measurements of breast density using magnetic resonance
... Abstract: Breast density, a measure of dense fibroglandular tissue relative to non-dense fatty tissue, is confirmed as an independent risk factor of breast ...assessment of ... See full document
20
Comparative Analysis of Feature Extraction Methods for the Classification of Prostate Cancer from TRUS Medical Images
... levels of the ...regions of interest of the TRUS ...texture analysis, texture features are computed from the statistical distribution of observed combinations of intensities at ... See full document
9
IMPROVEMENT AND STORAGE OF CONVENTIONAL MAMMOGRAPHY IMAGES USING TECHNIQUES OF DIGITAL IMAGE PROCESSING
... one mammography and its analysis will be made by means of bidimensional ...the images stacks. Form images stack means select several images and group them in a specific ...region ... See full document
13
THE DOCUMENTARY ANALYSIS OF IMAGES
... Se a função da análise documentária é realizar procedimentos de leitura e representação de documentos com vistas à recuperação de suas informações, para o caso das fotografias tais inf[r] ... See full document
5
Comparative evaluation of digital mammography and film mammography: systematic review and meta-analysis
... taken of the suspect lesion to conirm or reject the presence of cancer, if mammography images on the entire mass of both breasts come up negative, such patients cannot be subjected to ... See full document
11
THE CONTRIBUTION OF MULTITEMPORAL INFORMATION FROM MULTISPECTRAL SATELLITE IMAGES FOR AUTOMATIC LAND COVER CLASSIFICATION AT THE NATIONAL SCALE by
... use of land cover classification performances to assess the informational increment conveyed by additional temporal or spectral ...separability analysis based on the Mahalanobis median distance to ... See full document
225
Automatic extraction of road seeds from high-resolution aerial images
... 6. Fragmentation rule: as roads are usually smooth curves, polygons composed by short straight lines are not usually related to roads. For examples, image noise can generate short and isolate polygons. However, parts ... See full document
12
Minimal Feature Set for Unsupervised Classification of Knee MR Images
... MR images .A database file of 704 tuples and 46 attributes has been made in ASCII in CSV format, then conversion of this file to CSV file is ...the classification of ...Some of ... See full document
6
Diagnostic value of breast ultrasound in mammography BI-RADS 0 and clinically indeterminate or suspicious of malignancy breast lesions
... Registry of Cancer from the Institute for On- cology and Radiology of Serbia, and from radiologycal re- ports of ultrasonographic breast examinations performed in the Clinic for Radiotherapy ... See full document
7
Segmentation and Classification of Tumour in Computed Tomography Liver Images for Detection, Analysis and Preoperative Planning
... consists of image database, segmentation, feature extraction and classification ...selection of ROI from the suspicious region is done using region growing ...point of the suspected ...area ... See full document
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