Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
100K<n<1M
ArXiv:
License:
| annotations_creators: | |
| - machine-generated | |
| - expert-generated | |
| language_creators: | |
| - machine-generated | |
| - expert-generated | |
| language: | |
| - en | |
| license: | |
| - unknown | |
| multilinguality: | |
| - monolingual | |
| pretty_name: NIH-CXR14 | |
| paperswithcode_id: chestx-ray14 | |
| size_categories: | |
| - 100K<n<1M | |
| task_categories: | |
| - image-classification | |
| task_ids: | |
| - multi-class-image-classification | |
| # Dataset Card for NIH Chest X-ray dataset | |
| ## Table of Contents | |
| - [Table of Contents](#table-of-contents) | |
| - [Dataset Description](#dataset-description) | |
| - [Dataset Summary](#dataset-summary) | |
| - [Languages](#languages) | |
| - [Dataset Structure](#dataset-structure) | |
| - [Data Instances](#data-instances) | |
| - [Data Fields](#data-fields) | |
| - [Data Splits](#data-splits) | |
| - [Dataset Creation](#dataset-creation) | |
| - [Curation Rationale](#curation-rationale) | |
| - [Source Data](#source-data) | |
| - [Annotations](#annotations) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| - [Considerations for Using the Data](#considerations-for-using-the-data) | |
| - [Social Impact of Dataset](#social-impact-of-dataset) | |
| - [Discussion of Biases](#discussion-of-biases) | |
| - [Other Known Limitations](#other-known-limitations) | |
| - [Additional Information](#additional-information) | |
| - [Dataset Curators](#dataset-curators) | |
| - [Licensing Information](#licensing-information) | |
| - [Citation Information](#citation-information) | |
| - [Contributions](#contributions) | |
| ## Dataset Description | |
| - **Homepage:** [NIH Chest X-ray Dataset of 10 Common Thorax Disease Categories](https://nihcc.app.box.com/v/ChestXray-NIHCC/folder/36938765345) | |
| - **Repository:** | |
| - **Paper:** [ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases](https://arxiv.org/abs/1705.02315) | |
| - **Leaderboard:** | |
| - **Point of Contact:** rms@nih.gov | |
| ### Dataset Summary | |
| _ChestX-ray dataset comprises 112,120 frontal-view X-ray images of 30,805 unique patients with the text-mined fourteen disease image labels (where each image can have multi-labels), mined from the associated radiological reports using natural language processing. Fourteen common thoracic pathologies include Atelectasis, Consolidation, Infiltration, Pneumothorax, Edema, Emphysema, Fibrosis, Effusion, Pneumonia, Pleural_thickening, Cardiomegaly, Nodule, Mass and Hernia, which is an extension of the 8 common disease patterns listed in our CVPR2017 paper. Note that original radiology reports (associated with these chest x-ray studies) are not meant to be publicly shared for many reasons. The text-mined disease labels are expected to have accuracy >90%.Please find more details and benchmark performance of trained models based on 14 disease labels in our arxiv paper: [1705.02315](https://arxiv.org/abs/1705.02315)_ | |
| ## Dataset Structure | |
| ### Data Instances | |
| A sample from the training set is provided below: | |
| ``` | |
| {'image_file_path': '/root/.cache/huggingface/datasets/downloads/extracted/95db46f21d556880cf0ecb11d45d5ba0b58fcb113c9a0fff2234eba8f74fe22a/images/00000798_022.png', | |
| 'image': <PIL.PngImagePlugin.PngImageFile image mode=L size=1024x1024 at 0x7F2151B144D0>, | |
| 'labels': [9, 3]} | |
| ``` | |
| ### Data Fields | |
| The data instances have the following fields: | |
| - `image_file_path` a `str` with the image path | |
| - `image`: A `PIL.Image.Image` object containing the image. Note that when accessing the image column: `dataset[0]["image"]` the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the `"image"` column, *i.e.* `dataset[0]["image"]` should **always** be preferred over `dataset["image"][0]`. | |
| - `labels`: an `int` classification label. | |
| <details> | |
| <summary>Class Label Mappings</summary> | |
| ```json | |
| { | |
| "No Finding": 0, | |
| "Atelectasis": 1, | |
| "Cardiomegaly": 2, | |
| "Effusion": 3, | |
| "Infiltration": 4, | |
| "Mass": 5, | |
| "Nodule": 6, | |
| "Pneumonia": 7, | |
| "Pneumothorax": 8, | |
| "Consolidation": 9, | |
| "Edema": 10, | |
| "Emphysema": 11, | |
| "Fibrosis": 12, | |
| "Pleural_Thickening": 13, | |
| "Hernia": 14 | |
| } | |
| ``` | |
| </details> | |
| **Label distribution on the dataset:** | |
| | labels | obs | freq | | |
| |:-------------------|------:|-----------:| | |
| | No Finding | 60361 | 0.426468 | | |
| | Infiltration | 19894 | 0.140557 | | |
| | Effusion | 13317 | 0.0940885 | | |
| | Atelectasis | 11559 | 0.0816677 | | |
| | Nodule | 6331 | 0.0447304 | | |
| | Mass | 5782 | 0.0408515 | | |
| | Pneumothorax | 5302 | 0.0374602 | | |
| | Consolidation | 4667 | 0.0329737 | | |
| | Pleural_Thickening | 3385 | 0.023916 | | |
| | Cardiomegaly | 2776 | 0.0196132 | | |
| | Emphysema | 2516 | 0.0177763 | | |
| | Edema | 2303 | 0.0162714 | | |
| | Fibrosis | 1686 | 0.0119121 | | |
| | Pneumonia | 1431 | 0.0101104 | | |
| | Hernia | 227 | 0.00160382 | | |
| ### Data Splits | |
| | |train| test| | |
| |-------------|----:|----:| | |
| |# of examples|86524|25596| | |
| **Label distribution by dataset split:** | |
| | labels | ('Train', 'obs') | ('Train', 'freq') | ('Test', 'obs') | ('Test', 'freq') | | |
| |:-------------------|-------------------:|--------------------:|------------------:|-------------------:| | |
| | No Finding | 50500 | 0.483392 | 9861 | 0.266032 | | |
| | Infiltration | 13782 | 0.131923 | 6112 | 0.164891 | | |
| | Effusion | 8659 | 0.082885 | 4658 | 0.125664 | | |
| | Atelectasis | 8280 | 0.0792572 | 3279 | 0.0884614 | | |
| | Nodule | 4708 | 0.0450656 | 1623 | 0.0437856 | | |
| | Mass | 4034 | 0.038614 | 1748 | 0.0471578 | | |
| | Consolidation | 2852 | 0.0272997 | 1815 | 0.0489654 | | |
| | Pneumothorax | 2637 | 0.0252417 | 2665 | 0.0718968 | | |
| | Pleural_Thickening | 2242 | 0.0214607 | 1143 | 0.0308361 | | |
| | Cardiomegaly | 1707 | 0.0163396 | 1069 | 0.0288397 | | |
| | Emphysema | 1423 | 0.0136211 | 1093 | 0.0294871 | | |
| | Edema | 1378 | 0.0131904 | 925 | 0.0249548 | | |
| | Fibrosis | 1251 | 0.0119747 | 435 | 0.0117355 | | |
| | Pneumonia | 876 | 0.00838518 | 555 | 0.0149729 | | |
| | Hernia | 141 | 0.00134967 | 86 | 0.00232012 | | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed] | |
| #### Who are the source language producers? | |
| [More Information Needed] | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed] | |
| #### Who are the annotators? | |
| [More Information Needed] | |
| ### Personal and Sensitive Information | |
| [More Information Needed] | |
| ## Considerations for Using the Data | |
| ### Social Impact of Dataset | |
| [More Information Needed] | |
| ### Discussion of Biases | |
| [More Information Needed] | |
| ### Other Known Limitations | |
| [More Information Needed] | |
| ## Additional Information | |
| ### Dataset Curators | |
| [More Information Needed] | |
| ### License and attribution | |
| There are no restrictions on the use of the NIH chest x-ray images. However, the dataset has the following attribution requirements: | |
| - Provide a link to the NIH download site: https://nihcc.app.box.com/v/ChestXray-NIHCC | |
| - Include a citation to the CVPR 2017 paper (see Citation information section) | |
| - Acknowledge that the NIH Clinical Center is the data provider | |
| ### Citation Information | |
| ``` | |
| @inproceedings{Wang_2017, | |
| doi = {10.1109/cvpr.2017.369}, | |
| url = {https://doi.org/10.1109%2Fcvpr.2017.369}, | |
| year = 2017, | |
| month = {jul}, | |
| publisher = {{IEEE} | |
| }, | |
| author = {Xiaosong Wang and Yifan Peng and Le Lu and Zhiyong Lu and Mohammadhadi Bagheri and Ronald M. Summers}, | |
| title = {{ChestX}-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases}, | |
| booktitle = {2017 {IEEE} Conference on Computer Vision and Pattern Recognition ({CVPR})} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@alcazar90](https://github.com/alcazar90) for adding this dataset. | |