| --- |
| language: |
| - en |
| license: cc-by-nc-nd-4.0 |
| task_categories: |
| - image-classification |
| - image-to-image |
| tags: |
| - medical |
| - code |
| - biology |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: type |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 325782340.0 |
| num_examples: 97 |
| download_size: 313593688 |
| dataset_size: 325782340.0 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| --- |
| |
| # Chest X-ray |
|
|
| The dataset consists of a collection of chest X-ray images in **.jpg and .dcm** formats. The images are organized into folders based on different medical conditions related to the chest. Each folder contains images depicting specific chest abnormalities. |
|
|
| ### Types of diseases and conditions in the dataset: |
|
|
| *Abscess, Ards, Atelectasis, Atherosclerosis of the aorta, Cardiomegaly, Emphysema, Fracture, Hydropneumothorax, Hydrothorax, Pneumonia, Pneumosclerosis, Post inflammatory changes, Post traumatic ribs deformation, Sarcoidosis, Scoliosis, Tuberculosis and Venous congestion* |
|
|
|  |
|
|
| The dataset is valuable for research in **neurology, radiology, and oncology**. It allows the development and evaluation of computer-based algorithms, machine learning models, and deep learning techniques for **automated detection, diagnosis, and classification** of these conditions. |
|
|
| # Get the dataset |
|
|
| ### This is just an example of the data |
|
|
| Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=chest-x-rays) to discuss your requirements, learn about the price and buy the dataset. |
|
|
| # Content |
|
|
| ### The folder "files" includes 17 folders: |
| - corresponding to name of the disease/condition and including x-rays of people with this disease/condition (**abscess, ards, atelectasis etc.**) |
| - including x-rays in 2 different formats: **.jpg and .dcm**. |
|
|
| ### File with the extension .csv includes the following information for each media file: |
|
|
| - **dcm**: link to access the .dcm file, |
| - **jpg**: link to access the .jpg file, |
| - **type**: name of the disease or condition on the x-ray |
|
|
| # Medical data might be collected in accordance with your requirements. |
|
|
| ## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=chest-x-rays)** provides high-quality data annotation tailored to your needs |
|
|
| More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** |
|
|
| TrainingData's GitHub: **https://github.com/trainingdata-pro** |
