Data cleaning & preprocessing

Basic scheme: https://drive.google.com/file/d/1ooGtgptBMmHt6cuFXs1TAkPeOpHFMQOL/view?usp=sharing

Augmentation: artificially increase the train data

2 possible approaches:

• offline augmentation: Extend the present data set.
• online augmentation (augmentation on the fly): Extend the data set on each mini-batch.

Different styles:

light augmentation: only flipping etc. heavier augmentation: see light and heavier augmentation (link)

Papers about data augmentation:

Data augmentation (medium) introduction

light and heavier augmentation

Using GANs to generate new data for x-ray

Using GANs to improve CNN classification

Fast classification

Data augmentation techniques

Data augmentation techniques II

Preprocessing x-ray data

Practical implementation:

Image Augmentation Examples in Python: Medium. Numpy

Types of Data Augmentation: MXNet

DATA AUGMENTATION TECHNIQUES AND PITFALLS FOR SMALL DATASETS

Building powerful image classification models using very little data: Keras

Data augmentation in PyTorch: Forum

Data augmentation : boost your image dataset with few lines of Python: skimage

Data Augmentation for Computer Vision with PyTorch (Part 1: Image Classification)

Data Augmentation and Sampling for Pytorch