PneumoniaMNIST

Dataset Information

The PneumoniaMNIST is based on a prior dataset of 5,856 pediatric chest X-Ray images. The task is binary-class classification of pneumonia against normal. We split the source training set with a ratio of 9:1 into training and validation set and use its source validation set as the test set. The source images are gray-scale, and their sizes are (384−2,916)×(127−2,713). We center-crop the images and resize them into 1×28×28.

Task: binary-class

Labels:

0: normal, 1: pneumonia

Samples:

• Train: 4708
• Validation: 524
• Test: 624

Experiment Parameter

Learning Rate: 3e-4

Training Epoch: 50

Convergence Epoch: 8