An Automated Initialization System for Robust Model-Based Segmentation of Lungs in CT Data
An Automated Initialization System for Robust Model-Based Segmentation of Lungs in CT Data
Gill, Gurman and Toews, Matthew and Beichel, Reinhard R
Proceedings of the 5th International łdots 2013
Abstract : In this paper we study the feasibility of an automated initialization system for a robust model-based lung segmentation approach. The lung segmentation method consists of a robust active shape model (RASM) matching stage followed by an optimal surface finding step. The łdots