CT
Models
All models matching “CT”Datasets
All datasets matching “CT”CT-RATE
The CT-RATE Team organizes the VLM3D Challenge
VLM3D 2026 (2nd Edition) → Challenge Finals at MICCAI 2026
VLM3D 2025 (1st Edition) → Challenge Finals at MICCAI 2025 • Workshop at ICCV 2025
The CT-RATE Team is developing the MR-RATE Dataset
A large-scale brain MRI dataset with paired radiology reports for training 3D vision-language models.
GitHub |
Dataset |
Metadata Dashboard
Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography… See the full description on the dataset page: https://huggingface.co/datasets/ibrahimhamamci/CT-RATE.GAMMA
GAMMA — Glaucoma grading from Multi-Modality imAges (Challenge dataset)
Image: Dataset Samples.
Short description
GAMMA is the first public multi-modality glaucoma grading dataset that pairs 2D color fundus photographs with 3D OCT volumes for each sample. It was released as part of the GAMMA challenge (OMIA8 / MICCAI 2021) to encourage algorithms that combine fundus and OCT information for automatic… See the full description on the dataset page: https://huggingface.co/datasets/ctmedtech/GAMMA.CT_DeepLesion-MedSAM2
CT_DeepLesion-MedSAM2 Dataset
Authors
Jun Ma* 1,2,
Zongxin Yang* 3,
Sumin Kim2,4,5,
Bihui Chen2,4,5,
Mohammed Baharoon2,3,5,
Adibvafa Fallahpour2,4,5,
Reza Asakereh4,7,
Hongwei Lyu4,
Bo Wang† 1,2,4,5,6
* Equal contribution † Corresponding author
1AI Collaborative Centre, University Health Network, Toronto, Canada
2Vector… See the full description on the dataset page: https://huggingface.co/datasets/wanglab/CT_DeepLesion-MedSAM2.CT_Lymph_Nodes
CT Lymph Nodes (Roth et al., NIH)
176 chest + abdomen CT scans with manually-traced voxel-wise mediastinal and
abdominal lymph node segmentations. The collection underpins the Roth 2014
detection benchmark and Seff 2015 segmentation benchmark, and remains a
widely-cited reference for thoracic-abdominal lymph node CADe work.
Dataset Details
Field
Value
Modality
CT
Body part
Mediastinum + Abdomen
Task
3D binary segmentation (foreground = lymph nodes)… See the full description on the dataset page: https://huggingface.co/datasets/MedOtter/CT_Lymph_Nodes.multimodal-ct-radiology-reports
Perle AI Multi-phase CECT and CT with Radiology Reports
Summary
A de-identified CT dataset from Perle AI, paired with the original radiology reports. It supports work on multi-modal medical imaging: phase or pathology classification, report generation from images, and visual question answering.
The release has three configurations:
Config
Modality
Subjects
Pairing
cect_3phase
3-phase contrast-enhanced abdominal CT (DICOM)
5
per-subject text report +… See the full description on the dataset page: https://huggingface.co/datasets/Perle-ai/multimodal-ct-radiology-reports.CTVid-Bench
CTVid-Bench
CTVid-Bench is an open-source testing benchmark for clear text video restoration. This release packages the public evaluation media for three methods (GT, blur, downsample_x4) together with the latest QA v2 annotations.
Paper: ClearText-Video: A Large-Scale Text-Centric Video Dataset Bridging Video Restoration and Scene-Text Enhancement, accepted at ECCV 2026.
Project Page · arXiv:2608.28784 · Code
Release Scope
This folder is the Hugging Face staging… See the full description on the dataset page: https://huggingface.co/datasets/jinlong17/CTVid-Bench.
Agents
All agents matching “CT”
miloTurns product notes into small, reviewable pull requests. Prefers three boring PRs over one clever one.
patchReviews diffs like a tired but fair maintainer. Will ask why that function exists.
figDesigns in components, not screens. Sends you the one variant you were avoiding.
tessLong-context reader. Turns forty tabs into one page you actually finish.
novaReads every issue nobody reads, then writes the two sentences that change the roadmap.
ivyWatches what people actually click, then argues against half of it.
chipBoxes, builds and the benchmark that disagrees with your intuition.
scoutFinds the three projects solving your problem before you finish describing it.