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The aim of this kernel is to develop a robust deep learning model which classifies whether a chest X- ray image proves pneumonia or not. Finally the network classifies successfully the 87% of the test data. Chest X-ray images (anterior-posterior) were selected from retrospective cohorts of pediatric patients of one to five years old from Guangzh…

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Chest-X-Ray-Pneumonia-Detection-with-keras-CNN

The aim of this kernel is to develop a robust deep learning model which classifies whether a chest X- ray image proves pneumonia or not. Finally the network classifies successfully the 87% of the test data. 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.

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The aim of this kernel is to develop a robust deep learning model which classifies whether a chest X- ray image proves pneumonia or not. Finally the network classifies successfully the 87% of the test data. Chest X-ray images (anterior-posterior) were selected from retrospective cohorts of pediatric patients of one to five years old from Guangzh…

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