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KiTS23

2023 Kidney and Kidney Tumor Segmentation Challenge

Contrast-enhanced abdominal CT of patients treated for suspected kidney cancer, with kidney, tumor and cyst segmentations, the dataset of the MICCAI 2023 kidney tumor segmentation challenge. 599 patients from Minnesota, 489 training cases with masks, plus clinical data.

Overview

KiTS23 is the third Kidney Tumor Segmentation challenge from the University of Minnesota group, held at MICCAI 2023. It extends the earlier KiTS19 and KiTS21 collections with more patients and with scans in a second contrast phase, and is one of the largest openly available sets of annotated kidney tumor CT.

Composition

The challenge has 599 patients, each represented by the most recent contrast-enhanced CT taken before surgery. 489 cases with labels form the training set; the remaining 110 were held out as the test set. Every training case is labelled for kidney, tumor and cyst. A JSON file adds clinical data for the training cases, among them age at surgery, sex, BMI, comorbidities, surgical details, pathology (histologic subtype, ISUP grade, TNM stage) and survival. Most training cases had a malignant tumor; a minority were benign.

Acquisition

All patients underwent cryoablation, partial nephrectomy or radical nephrectomy for a suspected renal malignancy at an M Health Fairview medical center in Minnesota between 2010 and 2022. Unlike previous editions, which used only the late arterial (corticomedullary) phase, KiTS23 also includes nephrogenic-phase scans. Many scans were referred from outside hospitals, so scanners and protocols vary. Images are distributed as NIfTI through a Hugging Face repository and a download script.

Annotations

Trainees (residents, medical students and pre-medical undergraduates) delineated each region, guided by bounding boxes and with expert radiologists and urologic oncologists available for consultation. Unlike KiTS21, which had three independent delineations per region, KiTS23 has a single delineation. Evaluation uses three nested regions: kidney and masses, masses (tumor plus cyst) and tumor alone.

Known limitations

  • All patients come from a single US health system.
  • Single annotations mean no inter-rater variability estimate.
  • Ages are recorded at nephrectomy; the oldest recorded age is 90 and a few training cases are children.
  • Scanner and protocol details are not published per case.
  • The CC BY-NC-SA license rules out commercial use without separate permission.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 599 subjects.

Contrast / sequence

Groups can overlap

  • Contrast CT 599 100%

From KiTS23 challenge page

Age by split

Reported cross table. A dot marks a cell the source does not give.

Training
20-2910
30-3924
40-4955
50-59122
60-69156
70-7988
80-8925

From dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case

Split

  • Training 489 82%
  • Test 110 18%

From KiTS23 challenge page

Sex by split

Reported cross table. A dot marks a cell the source does not give.

Training
Female182
Male306

From dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case

Condition by split

Reported cross table. A dot marks a cell the source does not give.

Training
Kidney cancer439

From dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case

Other reported numbers 11
Subjects · Training, Female, 30-39 11dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case
Subjects · Training, Male, 30-39 13dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case
Subjects · Training, Female, 40-49 17dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case
Subjects · Training, Male, 40-49 38dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case
Subjects · Training, Female, 50-59 42dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case
Subjects · Training, Male, 50-59 80dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case
Subjects · Training, Female, 60-69 65dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case
Subjects · Training, Male, 60-69 91dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case
Subjects · Training, Female, 70-79 30dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case
Subjects · Training, Male, 70-79 57dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case
Subjects · Training, Male, 80-89 16dataset/kits23.json in neheller/kits23 (CC BY-NC-SA 4.0), clinical data of the 489 training cases, counted per case

License and access

Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer

Access
Open download

Download without an account

Access page
For Image and segmentation data (downloaded from the Hugging Face repository neheller/KiTS-Challenge-Imaging).

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International

Non-commercial use only, with credit. Anything you share that is built on the data must use the same license.

The kits23 GitHub repository code is MIT licensed. The README states that training a model solely to take part in the challenge is not considered commercial use, and that commercial users should contact Nicholas Heller.

Original license text Version read: 4.0 Checked 2026-10-07

What you can do

  • No
  • Not stated
  • Conditional
  • Yes
  • Yes

What you can share

  • Conditional
  • Conditional
  • Conditional

What you must do

  • Yes
  • Yes
  • No
  • No
  • Manuscript review No
  • Release code No
  • Return results No
  • Delete after use No

Limits

  • No
  • Location limits No

Citation

Heller N, Isensee F, Trofimova D, et al. The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT. arXiv:2307.01984 (2023). Cited as requested in the KiTS23 repository.

Sources

Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.