The proposed framework, however, is capable of accurately and completely segmenting the liver through voxel intensity and connectivity analysis. These outcomes substantiate the framework's capability to achieve performance on par with that of deep learning methods, albeit requiring less guidance information and lower GPU resources. Image Anal. Lipid droplet and nucleus segmentation. It has a numerical output Figure 1d and a visual output that is shown in additional files 3 and 4 "Numerical output of the Gebiss benchmarking module" and "Visual output of the Gebiss benchmarking module", respectively.
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