The TriDFusion (3DF) software perform threshold-based image segmentation.he threshold value is set based on the intensity values of the pixels in the image, and any pixel with an intensity value above the threshold is classified as belonging to one region, while pixels below the threshold are classified as belonging to another region.
The threshold-based segmentation algorithm in TriDFusion (3DF) can be applied to a variety of medical imaging modalities, including CT, MRI, SPECT and PET. The software includes several pre-processing steps to enhance the contrast and remove noise in the image, which improves the accuracy of the segmentation.
After the threshold-based segmentation is performed, the segmented regions can be visualized and analyzed using various tools within the TriDFusion (3DF) software. The software can calculate the volume, surface area, and other quantitative measurements of the segmented regions, allowing for accurate and reliable analysis of medical images.
The threshold-based segmentation method in TriDFusion (3DF) provides an efficient and accurate way to segment different regions of medical images, reducing the time and effort required for manual segmentation while improving the accuracy of the segmentation results.
