Inception Augmentation Generative Adversarial Network

06/05/2020
by   Saman Motamed, et al.
0

Successful training of convolutional neural networks (CNNs) requires a substantial amount of data. With small datasets, networks generalize poorly. Data Augmentation techniques improve the generalizability of neural networks by using existing training data more effectively. Standard data augmentation methods, however, produce limited plausible alternative data. Generative Adversarial Networks (GANs) have been utilized to generate new data and improve CNN performance. Nevertheless, generative models have not been used for augmenting data to improve the training of another generative model. In this work, we propose a new GAN architecture for semi-supervised augmentation of chest X-rays for the detection of pneumonia. We show that the proposed GAN can augment data for a specific class of images (pneumonia) using images from both classes (pneumonia and normal) in an image domain (chest X-rays). We demonstrate that using our proposed GAN-based data augmentation method significantly improves the performance of the state-of-the-art anomaly detection architecture, AnoGAN, in detecting pneumonia in chest X-rays, increasing AUC from 0.83 to 0.88.

READ FULL TEXT
research
07/07/2021

GAN-based Data Augmentation for Chest X-ray Classification

A common problem in computer vision – particularly in medical applicatio...
research
11/12/2017

Data Augmentation Generative Adversarial Networks

Effective training of neural networks requires much data. In the low-dat...
research
10/11/2019

Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation

Recent works show that Generative Adversarial Networks (GANs) can be suc...
research
11/08/2017

Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks

Medical datasets are often highly imbalanced, over representing common m...
research
09/12/2020

Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming

An effective perception system is a fundamental component for farming ro...
research
04/12/2021

Fruit Quality and Defect Image Classification with Conditional GAN Data Augmentation

Contemporary Artificial Intelligence technologies allow for the employme...
research
09/03/2019

Lund jet images from generative and cycle-consistent adversarial networks

We introduce a generative model to simulate radiation patterns within a ...

Please sign up or login with your details

Forgot password? Click here to reset