pneumoScope is a personal machine learning project designed to detect pneumonia from chest cavity imaging, such as X-rays and CT scans. This repository contains the code and resources to perform a three-step process:
1) Data Extraction and Exploration: We provide tools and scripts to extract, preprocess, and explore the dataset. Understanding the data is crucial for building effective pneumonia detection models.
2) Classifier and Neural Network Models: PneumoDetect utilizes a variety of classifiers, neural network architectures, and transfer learning models to achieve high accuracy in pneumonia detection. We offer a selection of pre-trained models and tools for training custom models.
3) Data Augmentation: Augmenting the dataset is essential for training robust models. PneumoDetect includes data augmentation techniques and utilities to enhance model performance.