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» Detection of Masses in Mammograms Using Texture Features
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ICIP
2010
IEEE
13 years 4 months ago
A supervised micro-calcification detection approach in digitised mammograms
We present in this paper a supervised approach for automatic detection of micro-calcifications. The system is based on learning the different morphology of the micro-calcification...
Albert Torrent, Arnau Oliver, Xavier Lladó,...
TMI
2002
191views more  TMI 2002»
13 years 5 months ago
Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis
A fully automatic method is presented to detect abnormalities in frontal chest radiographs which are aggregated into an overall abnormality score. The method is aimed at finding ab...
Bram van Ginneken, Shigehiko Katsuragawa, Bart M. ...
ICSNC
2007
IEEE
14 years 17 days ago
Self-Similarity Analysis Applied to 2D Breast Cancer Imaging
This article presents a new trend in computerized medical image analysis of breast cancer features, existing in mammograms (grey scale 2D images), based on recent approaches of th...
Filipe Soares, Pawel Andruszkiewic, Mário M...
MICCAI
2008
Springer
14 years 7 months ago
Exploratory Identification of Image-Based Biomarkers for Solid Mass Pulmonary Tumors
If imaging is to serve as a valid biomarker in the assessment of the response of cancer to therapies, a reproducible and predictive radiologic metric is required. A biomarker is an...
Ifeoma Nwogu, Jason J. Corso
CVPR
2006
IEEE
14 years 8 months ago
Modeling and Classifying Breast Tissue Density in Mammograms
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsu...
Anna Bosch, Arnau Oliver, Joan Martí, Xavie...