Synthesizing Filamentary Structured Images with GANs

06/07/2017
by   He Zhao, et al.
0

This paper aims at synthesizing filamentary structured images such as retinal fundus images and neuronal images, as follows: Given a ground-truth, to generate multiple realistic looking phantoms. A ground-truth could be a binary segmentation map containing the filamentary structured morphology, while the synthesized output image is of the same size as the ground-truth and has similar visual appearance to what have been presented in the training set. Our approach is inspired by the recent progresses in generative adversarial nets (GANs) as well as image style transfer. In particular, it is dedicated to our problem context with the following properties: Rather than large-scale dataset, it works well in the presence of as few as 10 training examples, which is common in medical image analysis; It is capable of synthesizing diverse images from the same ground-truth; Last and importantly, the synthetic images produced by our approach are demonstrated to be useful in boosting image analysis performance. Empirical examination over various benchmarks of fundus and neuronal images demonstrate the advantages of the proposed approach.

READ FULL TEXT

page 3

page 6

page 7

page 8

page 9

research
10/26/2022

The Inconvenient Truths of Ground Truth for Binary Analysis

The effectiveness of binary analysis tools and techniques is often measu...
research
10/31/2016

ConfocalGN : a minimalistic confocal image simulator

SUMMARY : We developed a user-friendly software to generate synthetic co...
research
06/06/2021

Using GANs to Augment Data for Cloud Image Segmentation Task

While cloud/sky image segmentation has extensive real-world applications...
research
05/07/2021

Structured dataset documentation: a datasheet for CheXpert

Billions of X-ray images are taken worldwide each year. Machine learning...
research
06/03/2020

From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding

We present a method for synthesizing naturally looking images of multipl...
research
05/02/2022

Leaf Tar Spot Detection Using RGB Images

Tar spot disease is a fungal disease that appears as a series of black c...
research
07/10/2019

Toward a Procedural Fruit Tree Rendering Framework for Image Analysis

We propose a procedural fruit tree rendering framework, based on Blender...

Please sign up or login with your details

Forgot password? Click here to reset