In the previous article, we managed to build a binary classifier to detect if patient had a pneumothorax or not. Neural networks commonly suffer from a lack of explainability. In this project, we will use a method called Grad-CAM (Gradient-weighted Class Activation Mapping) to visualize heatmaps on xray corresponding to the most important zones of the image for our classifier.
Introduction to Data Mesh: A Modern Approach to Data Management
In the following article, i will show how to install and use Kedro, an open source Python library that will simplify and clarify the way to define data pipel...
In the following article, i will show how to create a custom dataset for Kedro, an open source Python library for Production-Ready Machine Learning Code.
The goal of this project is to show a way how to train a binary classifier on Xray images, to predict if there is a pneumothorax or not. The dataset used her...
