Overview / Usage

In this project we are aiming at developing a Convolutional Neural Network Model for the detection of 14 different diseases related to chest from the Chest X-ray images. VGG19 is used as the base model for clasification. NIH Chest X-ray dataset is used for training of the network. Keras framework is used for the development of entire code. This project can enable expert detection of diseases in remote areas where human hep is inaccessible. Also it can provide a helping hand to the radiologists if they are not sure of presence of specific disease in the Chest X-ray image.

Methodology / Approach

Deep Learning is used for solving the problem of detection of diseases. In that also for getting the best possible results we are using pre trained models for the training of deep neural network for classification of various diseases. Pre trained models are already adept at classifying atlesat 1000 different types of objects. Keras framework is used for code development.

Technologies Used

Tensorflow, Keras