Sciweavers

2011 search results - page 96 / 403
» MRA data segmentation using level sets
Sort
View
157
Voted

Publication
204views
14 years 9 months ago
Maximum Likelihood Active Contours Specialized for Mammography Segmentation
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation o...
Peyman Rahmati, A. Ayatollahi
CORR
2004
Springer
125views Education» more  CORR 2004»
15 years 14 days ago
High-Level Networking With Mobile Code And First Order AND-Continuations
We describe a scheme for moving living code between a set of distributed processes coordinated with unification based Linda operations, and its application to building a comprehen...
Paul Tarau, Verónica Dahl
81
Voted
IJCNN
2000
IEEE
15 years 5 months ago
The Inefficiency of Batch Training for Large Training Sets
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
D. Randall Wilson, Tony R. Martinez
ICIP
2010
IEEE
14 years 10 months ago
Fast and robust active contours for image segmentation
Active models are widely used in applications like image segmentation and tracking. Region-based active models are known for robustness to weak edges and high computational comple...
Wei Yu, Franz Franchetti, Yao-Jen Chang, Tsuhan Ch...
131
Voted
ICDM
2006
IEEE
135views Data Mining» more  ICDM 2006»
15 years 6 months ago
Discovering Frequent Poly-Regions in DNA Sequences
The problem of discovering arrangements of regions of high occurrence of one or more items of a given alphabet in a sequence, is studied, and two efficient approaches are propose...
Panagiotis Papapetrou, Gary Benson, George Kollios