Medical image segmentation is a fundamental and challenging problem for analyzing
medical images. Among different existing medical image segmentation methods, graph …

摘要鉴于图割的理论意义和实际应用价值, 系统综述了基于图割的图像分割方法. 首先,
深入分析了基于图割的图像分割方法的基本原理, 主要从定性和定量角度剖析了图割与能量函数 …

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 …

An automated method is reported for segmenting 3-D fluid-associated abnormalities in the
retina, so-called symptomatic exudate-associated derangements (SEAD), from 3-D OCT …

As a preprocessing step, image segmentation, which can do partition of an image into
different regions, plays an important role in computer vision, objects recognition, tracking …

We present a new shape prior segmentation method using graph cuts capable of
segmenting multiple objects. The shape prior energy is based on a shape distance popular …

Segmentation of multiple surfaces in medical images is a challenging problem, further
complicated by the frequent presence of weak boundary evidence, large object …

Segmenting the right ventricle (RV) in magnetic resonance (MR) images is required for
cardiac function assessment. The segmentation of the RV is a difficult task due to low …

The interpretation of medical images benefits from anatomical and physiological priors to
optimize computer-aided diagnosis applications. Diagnosis also relies on the …

This paper presents a framework for segmenting flower images captured with a digital
camera. Segmenting flowers from images is a complex problem attributed to translation …