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--- |
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language: |
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- en |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- image-classification |
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- image-to-image |
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tags: |
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- medical |
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- code |
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- biology |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: type |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 325782340.0 |
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num_examples: 97 |
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download_size: 313593688 |
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dataset_size: 325782340.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Chest X-ray |
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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. |
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### Types of diseases and conditions in the dataset: |
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*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* |
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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. |
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# Get the dataset |
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### This is just an example of the data |
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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. |
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# Content |
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### The folder "files" includes 17 folders: |
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- corresponding to name of the disease/condition and including x-rays of people with this disease/condition (**abscess, ards, atelectasis etc.**) |
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- including x-rays in 2 different formats: **.jpg and .dcm**. |
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### File with the extension .csv includes the following information for each media file: |
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- **dcm**: link to access the .dcm file, |
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- **jpg**: link to access the .jpg file, |
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- **type**: name of the disease or condition on the x-ray |
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# Medical data might be collected in accordance with your requirements. |
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## **[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 |
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** |
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TrainingData's GitHub: **https://github.com/trainingdata-pro** |
