In this project, we use Convolutional Neural Networks and K-Nearest Neihboors to identify which patients have pneumonia. The best model (KNN) achieved an acuraccy score of 84% on the test data. The project is developed using a GPU enabled tensorflow Docker image. The data used can be obtained from this Kaggle link
sarambulo / pneumonia_detection Goto Github PK
View Code? Open in Web Editor NEWPneumonia detection using X-Rays
License: MIT License