This paper describes ongoing work on creating a benchmarking and validation dataset for biological image segmentation. While the primary target is biological images, we believe th...
We describe an image processing framework designed to detect and quantify the genesis of microscopic choroidal blood vessels. We used fluorescein angiography to monitor the dynami...
We propose a novel method for fully automated segmentation and tracking of the myocardium and left and right ventricles (LV and RV) using 4D MR images. The method uses non-rigid re...
Daniel Rueckert, Gerardo I. Sanchez-Ortiz, Maria L...
In virtual colonography, precise segmentation is essential for accurate diagnosis. For the segmentation of colon wall, we propose a novel multi-phase deformable model using a leve...
Yong Seok Yoo, Kyoung Mu Lee, Il Dong Yun, Sang Uk...
In ultrasound (US) imaging, denoising is intended to improve quantitative image analysis techniques. In this paper, a new version of the Non Local (NL) Means filter adapted for US...
Charles Kervrann, Christian Barillot, Pierre Helli...