Using Pytorch Lightning and Torchxrayvision's Pretrained Densenet121 Models

Detecting Pneumonia through X-ray Images with Convolutional Neural Networks in Keras and Back-end Tensorflow

This project uses a deep learning model built with the TensorFlow Library to detect pneumonia in X-ray images. The model architecture is based on the EfficientNetB7 model, which has achieved an accuracy of approximately 97.12% (97.11538%) on our test data. This high accuracy rate is one of the strengths of our AI model.

Automated Diagnosis of Pneumonia from Classification of Chest X-Ray Images using EfficientNet

Keras implementation for Binary classification problem (Detects Pneumonia by taking X-Ray images of patient chest).

Detecting Pneumonia from Chest X-ray images

This project utilizes Deep learning to predict pneumonia from chest X-ray images.

This project aims to detect pneumonia from chest X-ray images using a Convolutional Neural Network (CNN). The model is trained on a dataset of chest X-ray images and evaluated for its performance. The project is ongoing, and I aim to fine-tune the model in the future. If you are seeing this, it means I am still working on the project.