… In this paper, segmentation problems in medical imaging modalities … tools as well as with
some specific algorithms. In this paper various automatic tools as well as manual segmentation …

… software tool for manual and semi-automatic segmentation of … -automatic segmentation of
multi-modality imaging datasets, … first interactive image segmentation tool to combine Random …

… bution described in this paper is the development of a multi-modality segmentation capability
in the new ITK-SNAP version 3.4 that uses machine learning to differentiate tissue classes …

… tool involving volumetric segmentation of Multiple … segmentation performed using a new
Gaussian Mixture Model based on various databases atlases. Afterwards, lesion segmentation …

… Most existing methods use only a T 1 -weighted MRI volume to segment all supported …
that can use multiple image modalities simultaneously and a single reference segmentation for …

… Segmented registration: Before the actual registration is performed a coarse segmentation
… This technique is commonly used in other multi-modality delineation tools. Since the caudal–…

… segment. The method is based on exploiting the consistency of voxel intensities within the
segmentation … registration into the multi-atlas label fusion framework across modalities. Rather …

… we present an example of the Invicro MAS tool which is implemented in Invicro’s
VivoQuantTM software platform for fully automated hippocampus, ventricle and whole brain …

… segmenting news video based on the perceived shift in content using features spanning
multiple modalities. … feature, rather the best segmentation occurs when there is synergy between …

… (MRI) modalities are in fact essential imaging tools largely … image segmentation is considered
as an effective and needed tool … Such modalities segmentation has been highly needed for …