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» Detection of Masses in Mammograms Using Texture Features
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ISBI
2006
IEEE
14 years 6 months ago
Automatic registration of mammograms using texture-based anisotropic features
In this paper, an automated registration framework is proposed to identify the differences between corresponding mammographic images. The deformation between a pair of mammograms ...
Kexiang Wang, Hong Qin, Paul R. Fisher, Wei Zhao
PCM
2005
Springer
106views Multimedia» more  PCM 2005»
13 years 11 months ago
Automated Detection of Tumors in Mammograms Using Two Segments for Classification
A spread pattern of a tumor in medical images is an important factor for classification of the tumor. The spread pattern is generally not considered when we use only one segment fo...
Mahmoud R. Hejazi, Yo-Sung Ho
TMI
1998
140views more  TMI 1998»
13 years 5 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger
CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 5 months ago
Detection and Demarcation of Tumor using Vector Quantization in MRI images
Segmenting a MRI images into homogeneous texture regions representing disparate tissue types is often a useful preprocessing step in the computer-assisted detection of breast canc...
H. B. Kekre, Tanuja K. Sarode, Saylee M. Gharge
BILDMED
2009
111views Algorithms» more  BILDMED 2009»
13 years 6 months ago
Model-Based Characterization of Mammographic Masses
Abstract. The discrimination of benign and malignant types of mammographic masses is a major challenge for radiologists. The classic eigenfaces method was recently adapted for the ...
Sven-René von der Heidt, Matthias Elter, Th...