---
license: cc-by-4.0
task_categories:
- image-segmentation
tags:
- medical
- ct
- adrenal
- adrenocortical-carcinoma
- ki-67
- tumor-segmentation
- dicom
- tcia
pretty_name: Adrenal-ACC-Ki67-Seg
size_categories:
- n<1K
dataset_info:
  features:
  - name: patient_id
    dtype: string
  - name: study_uid
    dtype: string
  - name: ct_series_uid
    dtype: string
  - name: seg_series_uid
    dtype: string
  - name: num_ct_slices
    dtype: int32
  - name: slice_index
    dtype: int32
  - name: tumor_voxels
    dtype: int64
  - name: image
    dtype: image
  - name: mask
    dtype: image
  - name: overlay
    dtype: image
  splits:
  - name: preview
    num_bytes: 14238577
    num_examples: 53
  download_size: 14247684
  dataset_size: 14238577
configs:
- config_name: default
  data_files:
  - split: preview
    path: data/preview-*
---

# Adrenal-ACC-Ki67-Seg

Voxel-level segmentation of pathologically-proven Adrenocortical Carcinoma (ACC)
tumors on contrast-enhanced CT, with matched Ki-67 proliferation-marker labels.

## Dataset Details

| Field | Value |
|---|---|
| Modality | CT (contrast-enhanced) |
| Body part | Abdomen — adrenal gland (tumor) |
| Task | 3D binary tumor segmentation |
| Patients | 53 |
| Studies | 65 |
| CT series | 124 |
| SEG series | 53 (one per patient) |
| Images | 18,255 DICOM slices |
| Format | DICOM (images) + DICOM SEG (segmentations) + XLSX (clinical) |
| License | CC BY 4.0 |

No predefined train/val/test split — single cohort of 53 patients with
pathologically confirmed ACC imaged between 2006 and 2018. Tumor volumes
range from 2.6 to 7,864 cm³ (median ~177 cm³).

## Structure

```
images/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm
segmentations/<PatientID>/<StudyInstanceUID>/<SeriesInstanceUID>/*.dcm
Adrenal-ACC-Ki67-Seg_SupportingData_20230522.xlsx   # clinical & Ki-67 data
series_to_patient.json                              # series-level metadata index
```

Segmentation DICOMs are DICOM SEG objects and reference their source CT series
via DICOM metadata. Clinical metadata (demographics, Ki-67 index, follow-up,
tumor measurements) is provided in the XLSX spreadsheet.

## Source

- TCIA collection: https://www.cancerimagingarchive.net/collection/adrenal-acc-ki67-seg/
- DOI: `10.7937/1FPG-VM46`

## Citation

```bibtex
@article{ahmed2020radiomic,
  author  = {Ahmed, Ahmed A. and Elmohr, Mohab M. and Fuentes, David and
             Habra, Mouhammed A. and Fisher, Sarah B. and Perrier, Nancy D. and
             Zhang, Meng and Elsayes, Khaled M.},
  title   = {Radiomic mapping model for prediction of Ki-67 expression in
             adrenocortical carcinoma},
  journal = {Clinical Radiology},
  volume  = {75},
  number  = {6},
  pages   = {479.e17--479.e22},
  year    = {2020},
  doi     = {10.1016/j.crad.2020.01.012}
}

@misc{adrenalacc2022tcia,
  author    = {Ahmed, A. A. and Elmohr, M. M. and Fuentes, D. and
               Habra, M. A. and Fisher, S. B. and Perrier, N. D. and
               Zhang, M. and Elsayes, K. M.},
  title     = {Adrenal-ACC-Ki67-Seg [Dataset]},
  year      = {2022},
  publisher = {The Cancer Imaging Archive},
  doi       = {10.7937/1FPG-VM46}
}
```