This paper presents an integrated region-based and gradient-based supervised method for segmentation of a patient magnetic resonance images (MRI) of the shoulder joint. The method...
Nhat Tan Nguyen, Denis Laurendeau, Alexandra Branz...
We derive a probabilistic multi-scale model for contour completion based on image statistics. The boundaries of human segmented images are used as "ground truth". A prob...
High throughput genome-wide RNAi screening is emerging as an essential tool to assist biologists in understanding complex cellular processes. The large number of images produced in...
Pingkun Yan, Xiaobo Zhou, Mubarak Shah, Stephen T....
We propose an interactive system for identifying flags in photos taken from natural scenes. The system is interactive in two respects. First, because segmentation can be a difficu...
We present a new approach to the supervised learning of lateral interactions for the competitive layer model (CLM) dynamic feature binding architecture. The method is based on con...