About Me
Hey there! My name is Ayman Husain and I am an international junior at Earlham College, currently working towards a Data Science and Business Management double major.
Abstract
This project proposes the development of a supervised deep learning model to detect tuberculosis from chest X-ray images. It does so by classifying the images as either TB-positive or TB-negative by using the feature extractor to highlight key outliers in an image. In this project, we are essentially building two convolutional neural network (CNN) based models. One of these models we have built from scratch, and the other model is a pre-trained model specialized in disease detection called Densenet. I will be applying a filter on the Densenet to make it more suitable for our project’s purpose. Finally, we will be conducting a comparative analysis on how our model compares to the transfer learning-based model through several performance metrics detailed below.
Data Architecture Diagram
