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Datasets:
Morris-is-taken
/
RSNA_23_256x256_ROI_PNG

Tasks:
Image Classification
Size:
1M<n<10M
Tags:
rsna
medical-imaging
abdominal
ct
png
cross-validation
License:
Dataset card Files
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found RSNA_23_256x256_ROI_PNG.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found RSNA_23_256x256_ROI_PNG.py

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RSNA 2023 Abdominal Trauma Detection

This dataset is a preprocessed version of the RSNA 2023 Abdominal Trauma Detection training set.

Each DICOM scan has been converted into 96 PNG slices of fixed size 256×256:

  • Scans with fewer slices were upsampled.
  • Scans with more slices were downsampled.

The dataset is organized into 5 folds for cross-validation.

Contents

  • arrow_cache/: Arrow cache of training/validation set (fold 1).
  • fold_*.tar: Preprocessed images grouped by patient/series/organ.
  • RSNA_23_256x256_ROI_PNG.py: Dataset loading script for Hugging Face datasets.

Usage 

from datasets import load_dataset

# Load Fold 1
ds = load_dataset(
    "Morris-is-taken/RSNA_23_256x256_ROI_PNG",
    name="fold1",
    trust_remote_code=True
)

print(ds["train"])
# Dataset({
#     features: ['patient_id', 'series_id', 'organs', 'image', 'img_idx'],
#     num_rows: 992468
# })
print(ds["validation"])
# Dataset({
#     features: ['patient_id', 'series_id', 'organs', 'image', 'img_idx'],
#     num_rows: 248117
# })

Dataset features

  • patient_id: Unique identifier for each patient.
  • series_id: Identifier for the scanning series. A patient may have one or more series.
  • organs: Target region of interest
    • 0: Full image
    • 1: Kidney
    • 2: Liver
    • 3: Spleen
  • image: A PIL Image object representing the slice.
  • img_idx: Index of the slice within the series.

Requirement 

pip install datasets==3.6.0
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