Computed Tomography (CT)

Description from the archive archive 2025-07-28.

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

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

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 361 papers with code (1,207 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.

• COVID-CT-Dataset: A CT Scan Dataset about COVID-19
  30 Mar 2020 17 repositories listed
  Using this dataset, we develop diagnosis methods based on multi-task learning and self-supervised learning, that achieve an F1 of 0.
• MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
  12 Aug 2019 15 repositories listed
  When reading medical images such as a computed tomography (CT) scan, radiologists generally search across the image to find lesions, characterize and measure them, and then describe them in the radiological report.
• UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
  11 Dec 2019 13 repositories listed Syntology ran 1 of 9 samples · 8 unverified · 2 pointer-only (licence)
  The state-of-the-art models for medical image segmentation are variants of U-Net and fully convolutional networks (FCN).
• Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network
  22 Nov 2017 11 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  The model consists of two modules.
• 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.
• 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…
• Disentangled Representation Learning in Cardiac Image Analysis
  22 Mar 2019 4 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 1 pointer-only (licence)
  We can venture further and consider that a medical image naturally factors into some spatial factors depicting anatomy and factors that denote the imaging characteristics.
• 3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection
  25 Jun 2018 4 repositories listed
  3D context is known to be helpful in this differentiation task.
• Synthetic CT Generation via Variant Invertible Network for All-digital Brain PET Attenuation Correction
  3 Oct 2023 3 repositories listed
  Perceptual analysis and quantitative evaluations illustrate that the invertible network for PET AC outperforms other existing AC models, which demonstrates the potential of the proposed method and the feasibility of…
• GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
  13 Jun 2022 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We present an approach to learning regular spatial transformations between image pairs in the context of medical image registration.
• D-Net: Siamese based Network with Mutual Attention for Volume Alignment
  25 Jan 2021 3 repositories listed
  Alignment of contrast and non-contrast-enhanced imaging is essential for the quantification of changes in several biomedical applications.
• COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
  28 Sep 2020 3 repositories listed
  Novel Coronavirus (COVID-19) has drastically overwhelmed more than 200 countries affecting millions and claiming almost 1 million lives, since its emergence in late 2019.
• Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification
  25 May 2020 3 repositories listed
  Vertebral body compression fractures are reliable early signs of osteoporosis.
• Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
  22 Apr 2020 3 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis.
• Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
  5 Jun 2019 3 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  We propose a highly accurate and efficient one-stage lesion detector, by re-designing a RetinaNet to meet the particular challenges in medical imaging.
• MRI to CT Translation with GANs
  16 Jan 2019 3 repositories listed
  We present a detailed description and reference implementation of preprocessing steps necessary to prepare the public Retrospective Image Registration Evaluation (RIRE) dataset for the task of magnetic resonance imaging…
• Practical Window Setting Optimization for Medical Image Deep Learning
  3 Dec 2018 3 repositories listed
  The recent advancements in deep learning have allowed for numerous applications in computed tomography (CT), with potential to improve diagnostic accuracy, speed of interpretation, and clinical efficiency.
• Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT
  20 Jun 2018 3 repositories listed
  Here, we evaluate two unsupervised GAN models (CycleGAN and UNIT) for image-to-image translation of T1- and T2-weighted MR images, by comparing generated synthetic MR images to ground truth images.
• Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT
  28 Aug 2017 3 repositories listed
  X-ray computed tomography (CT) using sparse projection views is a recent approach to reduce the radiation dose.
• Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2
  3 May 2025 2 repositories listed
  Manual annotation of volumetric medical images, such as magnetic resonance imaging (MRI) and computed tomography (CT), is a labor-intensive and time-consuming process.
• X-Field: A Physically Grounded Representation for 3D X-ray Reconstruction
  11 Mar 2025 2 repositories listed
  X-ray imaging is indispensable in medical diagnostics, yet its use is tightly regulated due to potential health risks.
• Merlin: A Vision Language Foundation Model for 3D Computed Tomography
  10 Jun 2024 2 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  However, current medical VLMs are generally limited to 2D images and short reports, and do not leverage electronic health record (EHR) data for supervision.
• MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration
  25 Jan 2024 2 repositories listed
  Capturing voxel-wise spatial correspondence across distinct modalities is crucial for medical image analysis.
• Web Diagnosis for COVID-19 and Pneumonia Based on Computed Tomography Scans and X-rays
  6 Jan 2024 2 repositories listed
  Pneumonia and COVID-19 are respiratory illnesses, the last caused by the severe acute respiratory syndrome virus, coronavirus 2 (SARS-CoV-2).
• Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imaging
  17 Aug 2023 2 repositories listed
  The study underscores the potential of VIT to improve the reproducibility and clinical relevance of AI systems in medical imaging.
• Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge
  10 Aug 2023 2 repositories listed Syntology ran 6 of 6 samples · 0 unverified
  The best-performing algorithms successfully generalized to holdout external validation sets, achieving a median DSC of 89.
• 2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning
  9 Jun 2023 2 repositories listed
  We fill this gap by providing the community with a versatile, open 2D fan-beam CT dataset suitable for developing ML techniques for a range of image reconstruction tasks.
• M²SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
  20 Mar 2023 2 repositories listed
  Next, we expand the single-scale SU to the intra-layer multi-scale SU, which can provide the decoder with both pixel-level and structure-level difference information.
• Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
  3 Feb 2023 2 repositories listed
  In this work, we evaluated the effect of privacy-preserving training of AI models regarding accuracy and fairness compared to non-private training.
• Simulation toolkit for digital material characterization of large image-based microstructures
  18 Jan 2023 2 repositories listed
  In this paper, an efficient image-based simulation toolkit for material characterization is presented, which is scalable to work from personal computers to workstations.

Syntology lines on 10 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.