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» Automated Seeded Lesion Segmentation on Digital Mammograms
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TMI
1998
140views more  TMI 1998»
13 years 4 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

Publication
183views
13 years 1 months ago
A New Preprocessing Filter for Digital Mammogram
This paper presents a computer-aided approach to enhancing suspicious lesions in digital mammograms. The developed algorithm improves on a well-known preprocessor filter named cont...
Peyman Rahmati, Ghassan Hamarneh, Doron Nussbaum, ...
ICISP
2010
Springer
13 years 9 months ago
A New Preprocessing Filter for Digital Mammograms
This paper presents a computer-aided approach to enhancing suspicious lesions in digital mammograms. The developed algorithm improves on a well-known preprocessor filter named cont...
Peyman Rahmati, Ghassan Hamarneh, Doron Nussbaum, ...
IBPRIA
2005
Springer
13 years 10 months ago
Breast Segmentation with Pectoral Muscle Suppression on Digital Mammograms
Abstract. Previous works on breast tissue identification and abnormalities detection notice that the feature extraction process is affected if the region processed is not well fo...
David Raba, Arnau Oliver, Joan Martí, Marta...
ISBI
2006
IEEE
14 years 5 months ago
A diffusion tensor imaging tractography algorithm based on Navier-Stokes fluid mechanics
We introduce a method for estimating regional connectivity in diffusion tensor magnetic resonance imaging (DT-MRI) based on a fluid mechanics model. We customize the Navier-Stokes...
Nathan S. Hageman, David W. Shattuck, Katherine Na...