In this paper we present MESA: a platform for design and evaluation of medical image
segmentation methods. The platform offers a complete approach for the method creation …

This paper presents a systematic literature review concerning 3D segmentation algorithms
for computerized tomographic imaging. This analysis covers articles published in the range …

The principal goal of the segmentation process is to partition an image into regions that are
homogeneous with respect to one or more characteristics or features. Segmentation is an …

▪ Abstract Image segmentation plays a crucial role in many medical-imaging applications, by
automating or facilitating the delineation of anatomical structures and other regions of …

The purpose of this paper is to describe a framework for evaluating image segmentation
algorithms. Image segmentation consists of object recognition and delineation. For …

For a clinical application of the inverse problem of electrocardiography, a flexible and fast
generation of a patient's volume conductor model is essential. The volume conductor model …

Image segmentation is an important step in image processing. Major advances in the field of
medical imaging have provided physicians with powerful and non-invasive techniques to …

SEGMENTATION METHODS FOR MEDICAL IMAGE ANALYSIS Page 1 Linköping studies in
science and technology hesis No. 1434 SEGMENTATION METHODS FOR MEDICAL IMAGE …

Medical image segmentation provides rich information in clinical applications for supporting
the advancement in the biomedical knowledge and to guide surgery. This paper reviews the …

3D tomographic data created in the every day routine of hospitals and research facilities is
characterized by a high level of diagnostic Information and usually is made up of extensive …