Robust Automatic Co-Segmentation of Multiple Medical Images

Abstract

Automatic segmentation is very valuable for computer aided diagnosis and contouring during radio- therapy planning. When dealing with multiple image sets, such as the different respiratory phases in 4D-CT data, simultaneous co-segmentation of multiple medical images can be very useful for improving the efficiency and ac- curacy of segmentation and structure tracking. This work aims to develop a robust automatic co-segmentation method by adopting and adapting co-segmentation methods developed by the computer vision community for (RGB) video editing, tracking and understanding to medical image processing.

Publication
In Medical Physics