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Table 2 Segmentation performances of the proposed method compared with other existing methods in the testing cohort

From: A coarse-to-fine cascade deep learning neural network for segmenting cerebral aneurysms in time-of-flight magnetic resonance angiography

Models

DSC

HD (mm)

VS

Proposed

0.616 ± 0.167

5.946 ± 6.680

0.752 ± 0.226

DeepMedic [5]

0.286 ± 0.299

61.999 ± 71.326

0.502 ± 0.303

nnU-Net [6]

0.521 ± 0.287

59.598 ± 83.901

0.717 ± 0.245