PNEUMONIA DETECTION USING MOBILENETV2 | Python, Tensorflow, Keras, MobileNetV2, CNN, Deep learning
• Enhanced the technique for pneumonia detection, achieving a reliable 91% accuracy in identifying pneumonia cases and an impressive 90% precision for recognizing normal cases
• Effectively addressed the dataset’s class imbalance, by combining an ensemble approach with under-sampling, ensuring good precision for both Normal and Pneumonia Cases.
Distribution of Train Dataset
Distribution of Test Dataset
Normal chest X-Rays
Pneumonia Chest X-Rays
Accuracy Score
Classification Report(Without applying SMOTE)
Classification Report(SMOTE APPLIED)
Confusion matrix
Accuracy Report