DALight-3D achieves a mean Dice of 0.727 with 2.22M parameters on the Medical Segmentation Decathlon BrainTumour benchmark, slightly above the 0.710 Dice of Residual 3D U-Net with 3.20M parameters.
In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (MICCAI Workshop)
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DALight-3D: A Lightweight 3D U-Net for Brain Tumor Segmentation from Multi-Modal MRI
DALight-3D achieves a mean Dice of 0.727 with 2.22M parameters on the Medical Segmentation Decathlon BrainTumour benchmark, slightly above the 0.710 Dice of Residual 3D U-Net with 3.20M parameters.