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FINAL PROJECT - BANGKIT | BDG2-A

DATASET REPOSITORY

LINK SOURCE

Chest X-Ray From Kaggle

https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

CONTEXT

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

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.

ACKNOWLEDGMENTS

METADATA

Usage Information             License                     Other (specified in description)
                              Visibility                  Public

Maintainers                   Dataset owner               Paul Mooney(Kaggle)

Updates                       Expected update frequency   Not specified

Last updated                  2018-03-25                  Date created
                              2018-03-22                  Current version
                                                          Version 2

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