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BILDMED
2008
13 years 6 months ago
Filtering, Segmentation and Feature Extraction in Ultrasound Evaluation of Breast Lesions
The early diagnosis of breast cancer depends in many cases on the analysis of medical imaging, mainly mammography, ultrasonography and MRI. This work deals with ultrasound images i...
Miguel Alemán-Flores, Patricia Alemá...
CVPR
2006
IEEE
13 years 8 months ago
Ultrasound-Specific Segmentation via Decorrelation and Statistical Region-Based Active Contours
Segmentation of ultrasound images is often a very challenging task due to speckle noise that contaminates the image. It is well known that speckle noise exhibits an asymmetric dis...
Gregory G. Slabaugh, Gozde B. Unal, Tong Fang, Mic...
IBPRIA
2007
Springer
13 years 10 months ago
Optimally Discriminant Moments for Speckle Detection in Real B-Scan Images
Detection of speckle in ultrasound (US) images has been regarded as an important research topic in US imaging, mainly focusing on two specific applications: improving signal to no...
Robert Marti, Joan Martí, Jordi Freixenet, ...
ISBI
2008
IEEE
14 years 5 months ago
Bayesian non local means-based speckle filtering
In ultrasound (US) imaging, denoising is intended to improve quantitative image analysis techniques. In this paper, a new version of the Non Local (NL) Means filter adapted for US...
Charles Kervrann, Christian Barillot, Pierre Helli...
ICIP
1999
IEEE
14 years 6 months ago
Comparison of Prefiltering Operators for Road Network Extraction in Sar Images
In thispapel; the problem of the detectionof road networks in Synthetic Aperture Radar (SAR) images is addressed. This task is importantfor the registration ofSAR images to existi...
Philippe Bolon, Jocelyn Chanussot, Imad Issa, Patr...
ICIP
2001
IEEE
14 years 6 months ago
A new filtering method for ultrasound images incorporating prior statistics concerning medical features
20 To 50 percent of the neonates with a very low birth weight (VLBW:< 1500 g) suffer from White Matter Damage (leukomalacia). Nowadays the diagnosis of WMD is still solely depe...
Gjenna Stippel, Ivana Duskunovic, Wilfried Philips...