Image segmentation software tools | Nuclear medicine imaging analysis
In nuclear medicine, segmentation techniques are used to detect the extent of a tissue, an organ, a tumour inside an image, the boundaries of structures in cases that these are ambiguous and the areas that radiopharmaceutical concentrate in a greater extent. Thus, the segmentation process serves in assisting the implementation of other procedures; in other words, it constitutes the fundamental step of some basic medical image processing.
Extends the unified segmentation approach to tissue classification implemented in Statistical Parametric Mapping (SPM) software to neonates. MANTiS utilizes a combination of unified segmentation, template adaptation via morphological segmentation tools and topological filtering, to segment the neonatal brain into eight tissue classes: cortical gray matter, white matter, deep nuclear gray matter, cerebellum, brainstem, cerebrospinal fluid (CSF), hippocampus and amygdala. It is able to segment neonatal brain tissues well, even in images that have brain abnormalities common in preterm infants.
Offers a framework dedicated to image segmentation. SegAN proposes an approach derived from Generative Adversarial Networks (GANs) framework, trained on whole images with the aim of optimizing segmentation tasks in medical images. The application is based on multi-scale loss function for both the segmentor and critic networks. The application was tested on the segmentation of brain tumor images.
Captures the mass spectrometry (MS) lesion spatial distribution and identifies lesions regardless of their orientation, shape or size. RMNMS detects MS lesions using a training library containing T2-weighted (T2W) and FLAIR images along with manual T2W lesion masks. Moreover, it assists users in the detection of presence of lesions as lesion-wise measures.
Offers functions to display images and surfaces. AMILab contains two-dimensional function plot and histogram scripts. It employs the automatic wrapping of the VTK and wxWidgets to proceed. The tool scripting language features can be extended with manual and automatic wrapping. It can be useful for: sub-images, resizing, arithmetic operations, Gaussian convolutions, mathematical morphology, distance transforms and skeletonization.
Allows users to display and manipulate three dimensional objects, mainly human cortical surfaces and sulcal curves. Display includes visualization and segmentation of 3D and 4D medical images. It supports a number of visualization features such as: visualization of 3D surfaces; the intersection of the 3D surface with the volumetric data; viewing an arbitrary, oblique plane through the volumetric data. It also permits researchers to annotate structural features on either a surface or a volumetric dataset.
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