Abstract. We present a new method for the simultaneous, nearly automatic segmentation of liver contours, vessels, and metastatic lesions from abdominal CTA scans. The method repeat...
Moti Freiman, Ofer Eliassaf, Yoav Taieb, Leo Jo...
Abstract. In this paper we present a generative model for image sequences, which can be applied to motion segmentation and tracking, and to image sequence compression. The model co...
Grouping cues can affect the performance of segmentation greatly. In this paper, we show that superpixels (image segments) can provide powerful grouping cues to guide segmentation...
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
Douglas Moore, John Stevens, Scott Lundberg, Bruce...