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100+ results found
  1. Chest X-Ray Images (Pneumonia)

    • www.kaggle.com
    Updated Mar 24, 2018
  2. NIH Chest X-rays

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  4. Random Sample of NIH Chest X-ray Dataset

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  37. X-ray diffraction data for Streptococcus mutans SrtAN40

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  39. A CIPS sandstone X-ray CT data set for DCM tutorial training

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    Appendix A. Microfocus X-ray Computed Tomography cross-sectional images of...

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  64. National Health and Nutrition Examination Survey I, 1971-1975: Chest X-ray,...

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  69. Lung Masks for Shenzhen Hospital Chest X-ray Set

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  70. GOES Space Environment Monitor, X-ray Sensor

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  71. Dataset for X-ray micro-computed tomography for non-destructive 3D X-ray...

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  76. Data from: A carbonate rock X-ray CT data set for DCM tutorial training

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    Sulfur Near Edge X-ray Fluorescence Spectroscopy Data for standard materials...

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  91. Raw X-Ray CT data of CFC-Cu ITER monoblock mock-up

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  92. GOES-12 Solar X-ray Imager Archive

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  93. Scanning x-ray diffraction data on cardiac tissue

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  94. Advanced UV and X-ray Probes

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Chest X-Ray Images (Pneumonia)

5,863 images, 2 categories

3 scholarly articles cite this dataset (View in Google Scholar)
  • Dataset updated Mar 24, 2018
Authors
Paul Mooney
License
Other (specified in description)
Available download formats from providers
zip (1237249419 bytes), zip (1236184657 bytes)
Description

Context

http://www.cell.com/cell/fulltext/S0092-8674(18)30154-5

Figure S6. Illustrative Examples of Chest X-Rays in Patients with Pneumonia, Related to Figure 6 The normal chest X-ray (left panel) depicts clear lungs without any areas of abnormal opacification in the image. Bacterial pneumonia (middle) typically exhibits a focal lobar consolidation, in this case in the right upper lobe (white arrows), whereas viral pneumonia (right) manifests with a more diffuse ‘‘interstitial’’ pattern in both lungs. http://www.cell.com/cell/fulltext/S0092-8674(18)30154-5

Content

The dataset is organized into 3 folders (train, test, val) and contains subfolders for each image category (Pneumonia/Normal). There are 5,863 X-Ray images (JPEG) and 2 categories (Pneumonia/Normal).

Chest X-ray images (anterior-posterior) were selected from retrospective cohorts of pediatric patients of one to five years old from Guangzhou Women and Children’s Medical Center, Guangzhou. All chest X-ray imaging was performed as part of patients’ routine clinical care.

For the analysis of chest x-ray images, all chest radiographs were initially screened for quality control by removing all low quality or unreadable scans. The diagnoses for the images were then graded by two expert physicians before being cleared for training the AI system. In order to account for any grading errors, the evaluation set was also checked by a third expert.

Acknowledgements

Data: https://data.mendeley.com/datasets/rscbjbr9sj/2

License: CC BY 4.0

Citation: http://www.cell.com/cell/fulltext/S0092-8674(18)30154-5

enter image description here

Inspiration

Automated methods to detect and classify human diseases from medical images.

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