Tumor Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

15 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

30 shown of 312 papers with code (786 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.

• Brain Tumor Segmentation with Deep Neural Networks
  13 May 2015 14 repositories listed
  Finally, we explore a cascade architecture in which the output of a basic CNN is treated as an additional source of information for a subsequent CNN.
• The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes
  31 Mar 2019 7 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  The morphometry of a kidney tumor revealed by contrast-enhanced Computed Tomography (CT) imaging is an important factor in clinical decision making surrounding the lesion's diagnosis and treatment.
• 3D MRI brain tumor segmentation using autoencoder regularization
  27 Oct 2018 7 repositories listed Syntology ran 0 of 18 samples · 18 unverified
  Automated segmentation of brain tumors from 3D magnetic resonance images (MRIs) is necessary for the diagnosis, monitoring, and treatment planning of the disease.
• Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge
  28 Feb 2018 7 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Quantitative analysis of brain tumors is critical for clinical decision making.
• Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks
  1 Sep 2017 7 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  A cascade of fully convolutional neural networks is proposed to segment multi-modal Magnetic Resonance (MR) images with brain tumor into background and three hierarchical regions: whole tumor, tumor core and enhancing…
• The Liver Tumor Segmentation Benchmark (LiTS)
  13 Jan 2019 6 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the…
• The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
  2 Dec 2019 5 repositories listed Syntology ran 4 of 13 samples · 9 unverified · 4 pointer-only (licence)
  The 2019 Kidney and Kidney Tumor Segmentation challenge (KiTS19) was a competition held in conjunction with the 2019 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) which…
• TBraTS: Trusted Brain Tumor Segmentation
  19 Jun 2022 4 repositories listed
  In our method, uncertainty is modeled explicitly using subjective logic theory, which treats the predictions of backbone neural network as subjective opinions by parameterizing the class probabilities of the…
• A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation
  4 Nov 2020 4 repositories listed
  Automatic MRI brain tumor segmentation is of vital importance for the disease diagnosis, monitoring, and treatment planning.
• nnU-Net for Brain Tumor Segmentation
  2 Nov 2020 4 repositories listed
  We apply nnU-Net to the segmentation task of the BraTS 2020 challenge.
• Stan: Small tumor-aware network for breast ultrasound image segmentation
  3 Feb 2020 4 repositories listed
  The proposed approach outperformed the state-of-the-art approaches in segmenting small breast tumors.
• Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm
  9 Jun 2019 4 repositories listed
  Based on automatic deep learning segmentations, we extracted three features which quantify two-dimensional and three-dimensional characteristics of the tumors.
• Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks
  20 Feb 2017 4 repositories listed
  In the first step, we train a FCN to segment the liver as ROI input for a second FCN.
• 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.
• Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
  29 Apr 2022 3 repositories listed
  Tumor segmentation models were trained using the AGU-Net architecture with different preprocessing steps and protocols.
• SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities
  6 Apr 2022 3 repositories listed
  Gliomas are one of the most prevalent types of primary brain tumours, accounting for more than 30\% of all cases and they develop from the glial stem or progenitor cells.
• Diffusion Models for Implicit Image Segmentation Ensembles
  6 Dec 2021 3 repositories listed Syntology ran 13 of 19 samples · 6 unverified
  By modifying the training and sampling scheme, we show that diffusion models can perform lesion segmentation of medical images.
• FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis
  2 Dec 2021 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  However, designing a unified BA method that can be applied to various MIA systems is challenging due to the diversity of imaging modalities (e.
• TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
  7 Mar 2021 3 repositories listed
  To capture the local 3D context information, the encoder first utilizes 3D CNN to extract the volumetric spatial feature maps.
• Esophageal Tumor Segmentation in CT Images using Dilated Dense Attention Unet (DDAUnet)
  6 Dec 2020 3 repositories listed
  The proposed network achieved a DSC value of 0.
• MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation
  21 Sep 2020 3 repositories listed
  In recent years, a large number of variants of U-Net based on Multi-scale feature fusion are proposed to improve the segmentation performance for medical image segmentation.
• Vox2Vox: 3D-GAN for Brain Tumour Segmentation
  19 Mar 2020 3 repositories listed
  Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histological sub-regions, i.
• 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.
• MRI Tumor Segmentation with Densely Connected 3D CNN
  18 Jan 2018 3 repositories listed
  The major difficulty of our segmentation model comes with the fact that the location, structure, and shape of gliomas vary significantly among different patients.
• Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation
  5 Dec 2024 2 repositories listed
  Additionally, an open-source web-application is accessible at https://segmenter.
• Optimizing Brain Tumor Segmentation with MedNeXt: BraTS 2024 SSA and Pediatrics
  24 Nov 2024 2 repositories listed
  Identifying key pathological features in brain MRIs is crucial for the long-term survival of glioma patients.
• 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.
• SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
  31 Aug 2024 2 repositories listed
  First, a Synergistic Multi-Attention (SMA) Transformer block is proposed, which has the benefits of Pixel Attention, Channel Attention, and Spatial Attention for feature enrichment.
• BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation
  14 Jun 2024 2 repositories listed Syntology ran 3 of 6 samples · 3 unverified · 6 pointer-only (licence)
  This study introduces a novel approach towards the creation of medical foundation models by integrating a large-scale multi-modal magnetic resonance imaging (MRI) dataset derived from 41, 400 participants in its own.
• PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
  23 Apr 2024 2 repositories listed
  (3) Corrective learning.

Syntology lines on 9 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.