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The cytoskeleton is a complex network of protein filaments inside cells. Defects in genes expressing cytoskeleton proteins cause a wide range of different diseases. Mutations in genes encoding the keratin family of proteins are responsible for a variety of diseases. With the invention of fluorescent protein labeling techniques, fluorescent microscopy becomes a valuable tool in biological research...
Immunocytochemical markers are increasingly applied for diagnosis of diseases. Usually two or more marker stains are applied at once, together with a counterstain for a reliable microscopic investigation of cell specimens. As a preprocessing step for the detection of marker-positive cells, other stains should be removed by image processing techniques. This virtual de-staining can be achieved by color...
Pleural thickenings, which are an indicator for pleural mesothelioma, can be detected and analyzed using thoracic CT-data. They may cover a large area on the pleura surface and can have complex morphologies. Image noise, small deformations and especially the unclear boundary can significantly influence the segmentation process. Two independent segmentations from two points in time might independently...
Pleural thickenings are caused by asbestos exposure and may evolve into malignant pleural mesothelioma. The detection of pleural thickenings is today done by visual inspection of CT data, which is time-consuming and underlies the subjective judgment. In this work, thickenings are initially detected as the differences between the original contours and the healthy model of the pleura. A subsequent tissue-specific...
Examining the growth rate of pleural thickenings in consecutive 3D-CT images requires the matching of identical thickenings in lung images acquired at two different points in time. The thickenings can be subject to strong deformations caused by their growth. This implies that position information should play a major role in finding correspondences. Here, a MGRF approach is presented to determine a...
Pleuramesothelioma is malignant tumor on the pleura, caused by asbestos exposure. Computer-assisted diagnosis system shall support physicians to assess the growth rate of detected pleural thickenings from CT data. This paper describes a new, improved method to automatically assess the size of detected thickening using thin plate spline interpolation which then leads to the 3D modeling of thickening...
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