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  ---
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  license: cc-by-nc-nd-4.0
 
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  size_categories:
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  - 10K<n<100K
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- ## HuggingFace Environment Setup
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  conda create -n huggingface python=3.11 -y
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  conda activate huggingface
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  python -m pip install --upgrade pip
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  hf auth login
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  ```
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- ## Download CancerVerse
 
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  ```bash
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  mkdir CancerVerse
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  cd CancerVerse
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  bash download_cancerverse.sh
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  ```
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- ## Citation
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- If you find CancerVerse useful in your research, please cite:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```bibtex
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  @inproceedings{li2024well,
@@ -42,8 +156,10 @@ If you find CancerVerse useful in your research, please cite:
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  year={2024},
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  publisher={Elsevier}
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  }
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-
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  ```
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- license: cc-by-nc-4.0
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- ---
 
 
 
 
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  ---
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  license: cc-by-nc-nd-4.0
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+ pretty_name: "CancerVerse"
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  size_categories:
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  - 10K<n<100K
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+ tags:
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+ - medical-imaging
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+ - computed-tomography
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+ - oncology
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+ - cancer
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+ - radiology-reports
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+ - longitudinal
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+ - multimodal
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+ - vision-language
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+ task_categories:
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+ - image-classification
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+ - image-segmentation
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+ - image-to-text
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  ---
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+ # 🩻 CancerVerse
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+
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+ ### The first **longitudinal**, **multimodal** CT dataset spanning **13 malignant tumor types**
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+
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+ CancerVerse pairs whole-body abdominal/pelvic **CT volumes** with the **radiologists' own free-text reports**, follows patients **across time**, and is being released in stages β€” culminating in **expert voxel-level tumor masks** and a deep **clinical & longitudinal annotation layer**. It is built to power the next generation of cancer-aware medical AI: tumor detection and segmentation, report generation and grounding, longitudinal disease modeling, and treatment-response prediction.
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+
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+ > **24,168 CT volumes Β· 13,863 patients Β· 24,168 paired radiology reports Β· 15 years of follow-up Β· 13 cancer types β€” fully de-identified.**
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+
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+ CancerVerse is built and maintained by the [BodyMaps](https://huggingface.co/BodyMaps) team.
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+
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+ ---
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+
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+ ## πŸ“Š CancerVerse by the Numbers
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+
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+ | | |
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+ |---|---|
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+ | 🧊 **24,168** | de-identified 3D **CT volumes** |
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+ | πŸ§‘β€πŸ€β€πŸ§‘ **13,863** | unique **patients** |
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+ | πŸ“ **24,168** | paired **radiology reports** |
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+ | πŸ—“οΈ **15 years** | of imaging history (**Jul 2010 β†’ Jun 2025**) |
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+ | πŸ” **up to 26** | imaging **timepoints** for a single patient |
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+ | 🎚️ **4** | CT **contrast phases** (portal-venous, arterial early/late, non-contrast …) |
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+ | 🎯 **13** | **malignant tumor types** covered |
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+
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+ ---
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+
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+ ## πŸš€ Staged Release β€” what's ready today, what's coming next
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+
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+ CancerVerse is continuously evolving. We are releasing it in stages so the community can start building today while the richest layers are finalized.
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+
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+ ### βœ… Available now
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+
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+ - **De-identified CT volumes** β€” 24,168 3D scans from 13,863 patients, across multiple scanners and **4 contrast phases**.
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+ - **Paired radiology reports** β€” the radiologist's full free-text impression for 24,168 scans. Real clinical language, ready for report generation, information extraction, and image–text pre-training.
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+ - **Scan-level context** β€” sex, age, exam date, contrast phase, scanner, and study/series/protocol descriptions for every volume.
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+ - **Longitudinal linkage** β€” stable de-identified patient IDs + exam dates let you reconstruct each patient's imaging timeline (up to **26 timepoints**, spanning up to **14.4 years**).
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+
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+ ### πŸ”œ Coming soon
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+
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+ - 🧬 **Structured tumor features** *(by August 2026)* β€” per-organ malignancy status, largest-lesion **diameters, locations, attenuation**, and **tumor staging**.
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+ - πŸ”¬ **Pathology results** *(by August 2026)* β€” ICD-10 codes.
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+ - 🎯 **Expert manual segmentation annotations** *(by September 2026)* β€” voxel-level, radiologist-verified **tumor** annotations.
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+ - πŸ“‹ **Clinical & longitudinal layer** *(by September 2026)* β€” cancer histology, TNM stage, treatments received, surgical resections, **RECIST treatment response**, metastatic sites, disease-status narratives, follow-up recommendations, comorbidities, and devices/implants.
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+ > πŸ’‘ *Cancer information is already in your hands today β€” it lives in the paired radiology reports. The structured, machine-readable labels and masks make it turnkey, and arrive in the next releases.*
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+
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+ ---
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+
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+ ## 🎯 The 13 malignant tumor types
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+
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+ CancerVerse is curated around 13 abdominal and pelvic malignancies:
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+
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+ `liver` Β· `kidney` Β· `pancreas` Β· `colon` Β· `adrenal gland` Β· `bladder` Β· `duodenum` Β· `esophagus` Β· `gallbladder` Β· `prostate` Β· `spleen` Β· `stomach` Β· `uterus`
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+
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+ ---
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+
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+ ## πŸ“¦ What's inside this release
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+
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+ Each row is **one CT volume**, paired with that scan's radiology report and acquisition context.
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+
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+ | Field | Description |
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+ |---|---|
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+ | `CancerVerse ID` | Unique de-identified identifier for the CT volume (one per scan). |
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+ | `Patient ID` | De-identified patient identifier β€” **links a patient's scans across time**. |
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+ | `Encrypted Accession Number` | De-identified study/visit identifier. |
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+ | `sex` | Patient sex (M / F). |
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+ | `age` | Patient age at the time of the scan (years). |
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+ | `exam_date` | Date of the CT exam (enables longitudinal ordering). |
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+ | `phase` | Contrast phase (e.g., portal-venous, arterial early/late, non-contrast). |
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+ | `scanner` | Scanner model / vendor. |
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+ | `study_description`, `series_description`, `protocol_name` | Acquisition protocol details. |
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+ | `report` | **Free-text radiology report**. |
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+
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+ The CT volumes themselves are provided alongside this table and are linked by `CancerVerse ID`.
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+
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+ ---
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+
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+ ## ⬇️ Download
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+
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+ ### 1. Set up the environment
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+
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+ ```bash
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  conda create -n huggingface python=3.11 -y
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  conda activate huggingface
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  python -m pip install --upgrade pip
 
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  hf auth login
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  ```
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+ ### 2. Download CancerVerse
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+
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  ```bash
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  mkdir CancerVerse
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  cd CancerVerse
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  bash download_cancerverse.sh
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  ```
 
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+ ---
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+
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+ ## ✨ Why CancerVerse?
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+
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+ - **Truly longitudinal.** Most public CT datasets are single snapshots. CancerVerse follows real patients over **up to 14.4 years and 26 timepoints**, enabling disease-progression and treatment-response research.
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+ - **Multimodal from day one.** Every scan ships with its **radiologist report** β€” pixels *and* clinical language β€” ideal for vision-language pre-training, report generation, and grounded detection.
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+ - **Cancer-centric.** Purpose-built around **13 malignant tumor types**, with expert masks and structured oncology labels on the way.
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+ - **Real-world scale & diversity.** 13,863 patients, multiple scanners, and 4 contrast phases β€” clinical heterogeneity, not a sanitized benchmark.
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+ - **Responsibly de-identified.** No protected health information; stable de-identified IDs preserve patient timelines for research.
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+
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+ ---
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+
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+ ## πŸ“œ License
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+
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+ CancerVerse is released under **CC BY-NC-ND 4.0**. Please review the license before use.
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+
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+ ---
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+
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+ ## πŸ“ Citation
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+
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+ A dedicated CancerVerse data paper is forthcoming. In the meantime, if you use CancerVerse, please cite:
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  ```bibtex
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  @inproceedings{li2024well,
 
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  year={2024},
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  publisher={Elsevier}
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  }
 
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  ```
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+ ---
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+
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+ ## πŸ“£ Stay tuned
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+
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+ CancerVerse is actively growing β€” **masks and structured oncology labels are coming next.** ⭐ Follow [BodyMaps on Hugging Face](https://huggingface.co/BodyMaps) and watch this dataset to be notified when each release lands.