Organ Segmentation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

3 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.

Most implemented papers archive 2025-07-28

30 shown of 123 papers with code (305 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.

• TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
  8 Feb 2021 22 repositories listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  Medical image segmentation is an essential prerequisite for developing healthcare systems, especially for disease diagnosis and treatment planning.
• UNETR: Transformers for 3D Medical Image Segmentation
  18 Mar 2021 10 repositories listed
  Inspired by the recent success of transformers for Natural Language Processing (NLP) in long-range sequence learning, we reformulate the task of volumetric (3D) medical image segmentation as a sequence-to-sequence…
• Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
  7 Mar 2018 9 repositories listed
  Fully convolutional neural networks (F-CNNs) have set the state-of-the-art in image segmentation for a plethora of applications.
• AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
  16 Jun 2022 4 repositories listed
  Constraint by the high cost of collecting and labeling 3D medical data, most of the deep learning models to date are driven by datasets with a limited number of organs of interest or samples, which still limits the…
• WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
  3 Nov 2021 4 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Deep learning-based medical image segmentation has shown the potential to reduce manual delineation efforts, but it still requires a large-scale fine annotated dataset for training, and there is a lack of large-scale…
• Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation
  20 Jul 2020 4 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  Few-shot semantic segmentation (FSS) has great potential for medical imaging applications.
• 3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers
  11 Oct 2023 3 repositories listed
  In this paper, we extend the 2D TransUNet architecture to a 3D network by building upon the state-of-the-art nnU-Net architecture, and fully exploring Transformers' potential in both the encoder and decoder design.
• Autofocus Layer for Semantic Segmentation
  22 May 2018 3 repositories listed
  We propose the autofocus convolutional layer for semantic segmentation with the objective of enhancing the capabilities of neural networks for multi-scale processing.
• 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.
• AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ Segmentation
  12 Sep 2024 2 repositories listed
  To address this limitation, we propose the Adaptive Semantic Segmentation Network (ASSNet), a transformer architecture that effectively integrates local and global features for precise medical image segmentation.
• Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel bases
  26 Feb 2024 2 repositories listed
  This network uses an adaptive aggregation of Monte Carlo augmented spherical Fourier-Bessel filter bases to improve the efficiency and flexibility of 3D group equivariant CNNs for volumetric data.
• Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
  4 Dec 2023 2 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 5 pointer-only (licence)
  To measure the effectiveness and generalizability of DINOv2's feature representations, we analyze the model across medical image analysis tasks including disease classification and organ segmentation on both 2D and 3D…
• A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
  7 Sep 2023 2 repositories listed Syntology ran 4 of 8 samples · 4 unverified
  To address these questions, we introduce A-Eval, a benchmark for the cross-dataset Evaluation ('Eval') of Abdominal ('A') multi-organ segmentation.
• CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
  2 Jan 2023 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  The proposed model is developed from an assembly of 14 datasets, using a total of 3, 410 CT scans for training and then evaluated on 6, 162 external CT scans from 3 additional datasets.
• Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation
  23 Jul 2022 2 repositories listed
  Abdominal organ segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis.
• Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)
  20 May 2022 2 repositories listed
  Self-supervised learning (SSL) has demonstrated success in medical image segmentation using convolutional networks.
• Explainable multiple abnormality classification of chest CT volumes
  24 Nov 2021 2 repositories listed
  We introduce the challenging new task of explainable multiple abnormality classification in volumetric medical images, in which a model must indicate the regions used to predict each abnormality.
• 'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images
  4 Feb 2019 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  This representation is passed on to the segmenter arm that uses this information to segment the new query image.
• Elastic Boundary Projection for 3D Medical Image Segmentation
  3 Dec 2018 2 repositories listed
  The key observation is that, although the object is a 3D volume, what we really need in segmentation is to find its boundary which is a 2D surface.
• 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.
• CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation
  29 Jun 2025 1 repository listed
  These semantics are then injected into the image encoder to enhance the detailed understanding of visual information.
• CENet: Context Enhancement Network for Medical Image Segmentation
  23 May 2025 1 repository listed
  Medical image segmentation, particularly in multi-domain scenarios, requires precise preservation of anatomical structures across diverse representations.
• MediAug: Exploring Visual Augmentation in Medical Imaging
  26 Apr 2025 1 repository listed
  Data augmentation is essential in medical imaging for improving classification accuracy, lesion detection, and organ segmentation under limited data conditions.
• Anatomy-constrained modelling of image-derived input functions in dynamic PET using multi-organ segmentation
  23 Apr 2025 1 repository listed
  Accurate kinetic analysis of [¹⁸F]FDG distribution in dynamic positron emission tomography (PET) requires anatomically constrained modelling of image-derived input functions (IDIFs).
• MO-CTranS: A unified multi-organ segmentation model learning from multiple heterogeneously labelled datasets
  28 Mar 2025 1 repository listed
  Our method was evaluated and compared to several baseline models and state-of-the-art (SOTA) solutions on abdominal MRI datasets that were acquired in different views (i.
• PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation
  23 Mar 2025 1 repository listed
  To address this, we propose Prior-Guided SAM (PG-SAM), which employs a fine-grained modality prior aligner to leverage specialized medical knowledge for better modality alignment.
• A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor Segmentation
  1 Feb 2025 1 repository listed
  Estimating tumor volume is difficult due to their irregular shapes, and manual segmentation is time-consuming.
• Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation
  23 Jan 2025 1 repository listed
  These encoded priors are injected into the segmentation model as parameters of the segmentation head.
• GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation
  22 Jan 2025 1 repository listed
  Multi-organ segmentation is a critical yet challenging task due to complex anatomical backgrounds, blurred boundaries, and diverse morphologies.
• Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapy
  1 Nov 2024 1 repository listed
  Purposes: This study aimed to develop a computed tomography (CT)-based multi-organ segmentation model for delineating organs-at-risk (OARs) in pediatric upper abdominal tumors and evaluate its robustness across multiple…

Syntology lines on 7 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.