Commercial

Chest X-Ray Dataset

Dataset of X-ray images with markup and text conclusions of radiologists

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  • Files
    443
  • Medical Studies
    150
  • Data tags
    13
  • Medicine
  • Computer Vision
  • Segmentation
  • Classification
  • Machine Learning
  • Files
    443
  • Medical Studies
    150
  • Data tags
    13

Dataset Info

Characteristic Data
Description Chest X-ray to recognize pathologies
Data types DiCOM
Markup Segmentation of pathologies
Tasks Pathology recognition, computer vision.
Total number of files 443
Number of studies 150
Labeling ‘Nodule/mass’, ‘Dissemination’, ‘Annular shadows’, ‘Petrifications’, ‘Pleural effusion’, ‘Pneumothorax’, ‘Rib fractures’, ‘Healed rib fracture’, ‘Atelectasis’, ‘Enlarged mediastinum’, ‘Hilar enlargement’, ‘Infiltration/Consolidation’, ‘Fibrosis’
Gender Male, female
Age 25 - 70
chest_xray
chest_xray_labeled
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Statistics

Distribution by gender
Number of studies for each condition

Technical
Characteristics

Characteristic Data
File extension DiCOM
Markup format JSON
Source and collection methodology: Data was collected by a partner of Unidata

Industries

Medicine and Healthcare

  • Disease diagnosis:

    Using x-rays to detect lung diseases such as pneumonia and cancer.

     

  • Telemedicine:

    Using remote diagnostics to analyze x-rays and provide conclusions to patients at a distance.

  • Medical text analysis:

    Utilizing natural language processing to extract insights from annotation of clinical data and processing medical reports for improved patient care and decision-making

gradient

Education

  • Medical training:

    Use of X-rays to educate students and professionals in radiology.

gradient

What our clients are saying

UniData

4 3 Reviews

Abhijeet Zilpelwar 2025-02-26

Data is well organized and easy to…

Data is well organized and easy to consume. We could download and use it for training within few hours of receiving the data links.

PA

Paul 2025-02-21

Very Positive Experience!

The team was very responsive when requesting a specific dataset, and was able to work with us on what data we specifically needed and custom pricing for our use case. Overall a great experience, and would recommend them to others!

TH

Thorsten 2025-01-09

Very good experience

We got in touch with UniData to buy several datasets from them. Communication was very cooperative, quick, and friendly. We were able to find contract conditions that suited both parties well. I also appreciate the team's dedication to understand and address the needs of the customer. And the datasets we bought from UniData matched with our expectations.

Max Crous 2024-10-08

Data purchase

Our team got in touch with UniData for purchasing video data. The team at UniData was transparent, timely, and pleasant to communicate and negotiate with. Their samples and descriptions aligned well with the data we received. We will certainly reach out to UniData again if we're in search of 3rd party video data.

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