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license: cc-by-nc-sa-4.0
language:
  - en
tags:
  - medical

Dataset Card for Dataset Name

The kidney-CT-abnormality dataset contains kidney CT scans with normal/abnormal label. Original homepage: https://zenodo.org/records/8043408 Note that this dataset was reconstructed from “Dataset for: Kidney abnormality segmentation in thorax-abdomen CT scans” (https://zenodo.org/records/8014290), to fit the 2023 automated universal classification challenges (AUC2023) as stated by the authors.

Dataset Details

Dataset Description

This dataset in total is comprised of 986 .mha (medical high-resolution image) files. Each of these files contains multiple layers of CT scans of the kidney. A .json file is also included, illustrating the abnormality status of each image.

Dataset Sources [optional]

Uses

Direct Use

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Out-of-Scope Use

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Dataset Structure

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Dataset Creation

Curation Rationale

Kidney diseases can be challenging to detect, while identification or diagnosis is crucial for treatment. This dataset is intended to develop AI and machine learning algorithms for enhanced kidney disease recognition.

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Source Data

https://zenodo.org/records/8043408

Data Collection and Processing

https://zenodo.org/records/8014290 The original dataset contains “215 thoraxabdomen CT scans with segmentations of the kidney and abnormalities in the kidney”. Note that the original datasets contains in total 38.4G image data in mha format, and there is no .json file indicating the abnormality status. Alternatively, a segmentation kidney image dataset is included. [More Information Needed]

Who are the source data producers?

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Annotations [optional]

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

The CT scan image file names contain the study ID, indicating the differences in scans. These ids are anonymous and don’t contain any other personal information. [More Information Needed]

Bias, Risks, and Limitations

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Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation [optional]

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Dataset Card Contact

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