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The dilated dense U-net for spinal fracture lesions segmentation

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2021)

MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling

Kelei He et al.

Summary: The proposed two-stage framework utilizing a multi-task UNet architecture and online metric learning module achieved superior performance in CT prostate segmentation compared to traditional methods and state-of-the-art approaches.

MEDICAL IMAGE ANALYSIS (2021)

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Article Computer Science, Software Engineering

ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation

Chen Li et al.

COMPUTERS & GRAPHICS-UK (2020)

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Article Chemistry, Multidisciplinary

Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation

Martin Kolarik et al.

APPLIED SCIENCES-BASEL (2019)

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The dilated dense U-net for spinal fracture lesions segmentation

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MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling

ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation

Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation

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