Pancreas Segmentation
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Benchmarks
Most implemented
U-Net: Convolutional Networks for Biomedical Image Segmentation
Attention U-Net: Learning Where to Look for the Pancreas
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
U-Net Fixed-Point Quantization for Medical Image Segmentation
Papers
SCKAN: Structural Consensus-based KAN Prototype Learning for Semi-Supervised Pancreas Segmentation
Accurate pancreas segmentation is critical for early cancer diagnosis, where annotation scarcity necessitates Semi-Supervised Learning (SSL). However, due to significant inter-sample morphological variability, existing S…
Pancreas SegmentationCrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization
Automatic pancreas segmentation is fundamental to abdominal MRI analysis, yet deep learning models trained on one MRI sequence often fail catastrophically when applied to another-a challenge that has received little syst…
Domain GeneralizationPancreas SegmentationField strength-dependent performance variability in deep learning-based analysis of magnetic resonance imaging
This study quantitatively evaluates the impact of MRI scanner magnetic field strength on the performance and generalizability of deep learning-based segmentation algorithms. Three publicly available MRI datasets (breast …
Pancreas SegmentationTumor SegmentationTA-LSDiff:Topology-Aware Diffusion Guided by a Level Set Energy for Pancreas Segmentation
Pancreas segmentation in medical image processing is a persistent challenge due to its small size, low contrast against adjacent tissues, and significant topological variations. Traditional level set methods drive bounda…
Pancreas SegmentationRethink Domain Generalization in Heterogeneous Sequence MRI Segmentation
Clinical magnetic-resonance (MR) protocols generate many T1 and T2 sequences whose appearance differs more than the acquisition sites that produce them. Existing domain-generalization benchmarks focus almost on cross-cen…
Domain GeneralizationPancreas SegmentationGeneralizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework
Recently, numerous pancreas segmentation methods have achieved promising performance on local single-source datasets. However, these methods don't adequately account for generalizability issues, and hence typically show …
Image RestorationPancreas SegmentationSelf-Supervised Learning