نتایج جستجو برای: mass segmentation

تعداد نتایج: 541687  

2011
D. Janaki Sathya K. Geetha

Breast cancer continues to be a significant public health problem in the world. Early detection is the key for improving breast cancer prognosis. Mammography is currently the primary method of early detection. But recent research has shown that many cases missed by mammography can be detected in Breast DCE-MRI. Magnetic Resonance (MR) imaging is emerging as the most sensitive modality that is c...

Journal: :CoRR 2015
Tizita Nesibu Shewaye

Broadly speaking, the objective in cardiac image segmentation is to delineate the outer and inner walls of the heart to segment out either the entire or parts of the organ boundaries. This paper will focus on MR images as they are the most widely used in cardiac segmentation – as a result of the accurate morphological information and better soft tissue contrast they provide. This cardiac segmen...

2006
Lars Dornheim Jana Dornheim Klaus D. Tönnies

Models of geometry or appearance of three-dimensional objects may be used for locating and specifying object instances in 3D image data. Such models are necessary for segmentation if the object to be segmented is not separable based on image information only. They provide a-priori knowledge about the expected shape of the target structure. The success of such a segmentation task depends on the ...

Journal: :SIAM J. Imaging Sciences 2013
Xiaohao Cai Raymond H. Chan Tieyong Zeng

Abstract. The Mumford-Shah model is one of the most important image segmentation models, and has been studied extensively in the last twenty years. In this paper, we propose a two-stage segmentation method based on the Mumford-Shah model. The first stage of our method is to find a smooth solution g to a convex variant of the Mumford-Shah model. Once g is obtained, then in the second stage, the ...

2002
Nathan Moon Elizabeth Bullitt Koenraad Van Leemput Guido Gerig

Combining image segmentation based on statistical classification with a geometric prior has been shown to significantly increase robustness and reproducibility. Using a probabilistic geometric model of sought structures and image registration serves both initialization of probability density functions and definition of spatial constraints. A strong spatial prior, however, prevents segmentation ...

Journal: :Journal of proteome research 2010
Theodore Alexandrov Michael Becker Sren-Oliver Deininger Günther Ernst Liane Wehder Markus Grasmair Ferdinand von Eggeling Herbert Thiele Peter Maass

In recent years, matrix-assisted laser desorption/ionization (MALDI)-imaging mass spectrometry has become a mature technology, allowing for reproducible high-resolution measurements to localize proteins and smaller molecules. However, despite this impressive technological advance, only a few papers have been published concerned with computational methods for MALDI-imaging data. We address this ...

2002
Nathan Moon Elizabeth Bullitt Koenraad Van Leemput Guido Gerig

Combining image segmentation based on statistical classification with a geometric prior has been shown to significantly increase robustness and reproducibility. Using a probabilistic geometric model of sought structures and image registration serves both initialization of probability density functions and definition of spatial constraints. A strong spatial prior, however, prevents segmentation ...

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