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

# Kidney-CT-Abnormality

<!-- Provide a quick summary of the dataset. -->
This Kidney-CT_Abnormality dataset consists of kidney CT scans with abnormality label.
The original dataset is available at https://zenodo.org/records/8043408.

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

The kidney CT scans contained in this dataset are .mha (medical high-resolution image) files. 
In total, there are 986 CT scans, and each contains multiple layers.
A .json file is also included, illustrating the abnormality status of each image.

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 Sources 

<!-- Provide the basic links for the dataset. -->
- **Original Homepage:** https://zenodo.org/records/8043408

## Uses

<!-- Address questions around how the dataset is intended to be used. -->
This dataset is intended for kidney abnormality classification.

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->


### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->



## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->



## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->
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.


### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
https://zenodo.org/records/8043408

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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.


#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->



### Annotations 

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

<!-- This section describes the people or systems who created the annotations. -->



#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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.

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->


### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

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

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
Datasets:
Alves, N., & Boulogne, L. (2023). Kidney CT Abnormality [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8043408
Gabriel E. Humpire-Mamani, Luc Builtjes, Colin Jacobs, Bram van Ginneken, Mathias Prokop, & Ernst Th. Scholten. (2023). Dataset for: Kidney abnormality segmentation in thorax-abdomen CT scans [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8014290