Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasound (LUS), where severe patterns are often underrepresented. Traditional oversampling techniques, ...

The autoencoder (AE) is a fundamental deep learning approach to anomaly detection. AEs are trained on the assumption that abnormal inputs will produce higher reconstruction errors than normal ones. In ...

Dimensionality Reduction using an Autoencoder in Python Introducation In this project, You will learn how to generate your own high-dimensional dummy dataset. You will then learn how to preprocess it ...

Autoencoder-in-Python This repository implements a basic autoencoder model using Keras to compress and reconstruct images from the Fashion MNIST dataset. What is an Autoencoder? An autoencoder is a ...