Pancreas Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (60 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• U-Net: Convolutional Networks for Biomedical Image Segmentation
  18 May 2015 487 repositories listed Syntology ran 510 of 757 samples · 247 unverified · 426 pointer-only (licence)
  There is large consent that successful training of deep networks requires many thousand annotated training samples.
• Attention U-Net: Learning Where to Look for the Pancreas
  11 Apr 2018 37 repositories listed Syntology ran 8 of 28 samples · 20 unverified · 7 pointer-only (licence)
  We propose a novel attention gate (AG) model for medical imaging that automatically learns to focus on target structures of varying shapes and sizes.
• A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
  25 Dec 2016 3 repositories listed
  Deep neural networks have been widely adopted for automatic organ segmentation from abdominal CT scans.
• Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation
  15 Apr 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  This study investigates barely-supervised medical image segmentation where only few labeled data, i.
• U-Net Fixed-Point Quantization for Medical Image Segmentation
  2 Aug 2019 2 repositories listed
  We then apply our quantization algorithm to three datasets: (1) the Spinal Cord Gray Matter Segmentation (GM), (2) the ISBI challenge for segmentation of neuronal structures in Electron Microscopic (EM), and (3) the…
• Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
  13 Sep 2017 2 repositories listed
  The key innovation is a saliency transformation module, which repeatedly converts the segmentation probability map from the previous iteration as spatial weights and applies these weights to the current iteration.
• A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans
  3 May 2025 1 repository listed
  More importantly, it successfully improves the results of the highly challenging cross-lesion generalized pancreatic cancer segmentation task by 9.
• Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI
  6 Sep 2024 1 repository listed
  We trained a collection of basic UNets with different fusion points, spanning from early to late, to assess how early through late fusion influenced segmentation performance on imperfectly aligned images.
• PanSAM: Zero-Shot, Prompt-Free Pancreas Segmentation in CT Imaging
  3 Jul 2024 1 repository listed
  We utilize the Segment-Anything Model (SAM), a prompt-based 2D segmentation transformer model, and adapt it to 3D CT images to build a model that can segment the pancreas automatically without any prompts.
• Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
  20 May 2024 1 repository listed
  We also collected CT scans of 1, 350 patients from publicly available sources for benchmarking purposes.
• Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques
  25 Apr 2024 1 repository listed
  Identifying peri-pancreatic edema is a pivotal indicator for identifying disease progression and prognosis, emphasizing the critical need for accurate detection and assessment in pancreatitis diagnosis and management.
• Curriculum Knowledge Switching for Pancreas Segmentation
  22 Jun 2023 1 repository listed
  Pancreas segmentation is challenging due to the small proportion and highly changeable anatomical structure.
• Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
  6 Jul 2022 1 repository listed
  Previous methods proposed Variational Autoencoder (VAE) based models to learn the distribution of shape for a particular organ and used it to automatically evaluate the quality of a segmentation prediction by fitting it…
• Dynamic Linear Transformer for 3D Biomedical Image Segmentation
  1 Jun 2022 1 repository listed
  Transformer-based neural networks have surpassed promising performance on many biomedical image segmentation tasks due to a better global information modeling from the self-attention mechanism.
• Hierarchical 3D Feature Learning for Pancreas Segmentation
  3 Sep 2021 1 repository listed
  We propose a novel 3D fully convolutional deep network for automated pancreas segmentation from both MRI and CT scans.
• Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
  6 Aug 2021 1 repository listed
  However, there are two drawbacks of the approach: most of the edges in the graph are assigned randomly and the GCN is trained independently from the segmentation network.
• Inter-slice Context Residual Learning for 3D Medical Image Segmentation
  28 Nov 2020 1 repository listed
  In this paper, we propose the 3D context residual network (ConResNet) for the accurate segmentation of 3D medical images.
• AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
  28 Oct 2020 1 repository listed
  With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved comparable results with inter-rater…
• TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
  29 Jan 2018 1 repository listed
  We propose a new scheme that approximates both trainable weights and neural activations in deep networks by ternary values and tackles the open question of backpropagation when dealing with non-differentiable functions.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.