The Conditional Random Fields (CRF) model, using
patch-based classification bound with context information,
has recently been widely adopted for image segmentation/
labeling. In...
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
In general, the less probable an event, the more attention we pay to it. Likewise, considering visual perception, it is interesting to regard important image features as those that...
In this paper we present the results of parallelizing two life sciences applications, Markov random fieldsbased (MRF) liver segmentation and HMMER’s Viterbi algorithm, using GP...
John Paul Walters, Vidyananth Balu, Suryaprakash K...
In the field of neuroanatomy, automatic segmentation of electron microscopy images is becoming one of the main limiting factors in getting new insights into the functional struct...