Normal Chest X Ray Dataset. The original dataset is organized into 3 folders train test val and contains subfolders for each image category pneumonia normal. The set contains 662 frontal chest x rays of which 326 are normal cases and 336 are cases with manifestations of tb including pediatric x rays ap.
Chest X Rays Pneumonia Detection Using Convolutional Neural Network By Christie Natashia Archie Towards Data Science from towardsdatascience.com
This dataset can be used to detect pneumonia by training a convolutional neural network. Chest x ray images anterior posterior were selected from retrospective cohorts of pediatric patients of one to five years old. The original dataset is organized into 3 folders train test val and contains subfolders for each image category pneumonia normal.
Their size can vary but is approximately 3k 3k pixels.
Each of them has two sub folders labeled as normal and pneumonia. This dataset mainly consists of the chest x ray images of normal and pneumonia affected patients. There are 5 863 x ray images jpeg and 2 categories pneumonia normal. Their size can vary but is approximately 3k 3k pixels.
