Sentence examples for morphological images have from inspiring English sources

Comparison with morphological images have previously been used to evaluate the performance of automatic segmentation methods in for example FDG and 124I PET images [45].

Morphological images using the same geometry as diffusion-weighted images have to be performed in order to compare morphologic and functional images, allowing exact localization of the lesion and avoiding necrotic areas for region of interest delineation.

Simultaneously captured phase contrast images have revealed significant information about morphological changes in the topographical features and crystallinity of the hydrogels.

Binary and gray scale images have been considered in the morphological operations of skull stripping.

Moreover, in order to better address also the morphology and the relationships between nucleolar organizers rather than the individual ROIs, the binary images have also been processed through a pruning morphological filter reducing the images to their skeletons.

Initially established as a powerful tool for morphological binary image processing, some generalizations for grey-level images have been proposed in the literature.

Current research in morphological image processing has demonstrated various processing techniques, many which have advantages over equivalent typical image processing techniques.

The same findings were obtained when processing other synthetic images having different morphological properties.

It is noted that the numbers of rods in such a large area size of 125 μm2 were obtained from the summation of rods contributed by five FESEM surface morphological images where each image had the area dimension of 5 μm × 5 μm.

To determine the numbers of nanorods in such large regions, the numbers of nanorods observed in five FESEM surface morphological images were summed, where each image had dimensions of approximately 5 μm × 5 μm.

Data have been fully anonymized (and also defaced in case of morphological images) and cannot be linked in any way to patient's names.