We present here a new algorithm for segmentation of intensity images which is robust, rapid,
and free of tuning parameters. The method, however, requires the input of a number of …

In this paper, we propose a novel method based on a strategic combination of the active
appearance model (AAM), live wire (LW), and graph cuts (GCs) for abdominal 3-D organ …

OBJECTIVE: In the recent years liver segmentation from computed tomography scans has
gained a lot of importance in the field of medical image processing since it is the first and …

Purpose: To investigate the potential of the normalized probabilistic atlases and computer‐
aided medical image analysis to automatically segment and quantify livers and spleens for …

Background Cancer treatments are complex and involve different actions, which include
many times a surgical procedure. Medical imaging provides important information for …

Automatic Abdominal Organ Segmentation from CT images Page 1 Electronic Letters on
Computer Vision and Image Analysis 8(1):1-14, 2009 Automatic Abdominal Organ …

This paper reviews different methods that have been used to automatically extract organ
regions from abdominal CT (computerized tomography) data. These techniques include …

In this paper we describe the state of the art of the semi-automatic and automatic techniques
for liver volume extraction from abdominal CT. In the recent years this research focus has …

Advanced liver surgery requires a precise pre-operative planning, where liver segmentation
and remnant liver volume are key elements to avoid post-operative liver failure. In that …

This paper proposes an automatic segmentation method which effectively combines Active
Contour Model, Live Wire method and Graph Cut approach (CLG). The aim of Live wire …