Essays about: "synthetic image data"

Showing result 21 - 25 of 133 essays containing the words synthetic image data.

1. 21. Are these numbers real?

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Karl Griphammar; [2022-10-14]
   Keywords : Machine learning; data science; deep generative models; GAN; quality control; smart manufacturing; subspaces;

   Abstract : Smart manufacturing refers to the use of digitalization for improving and automating manufacturing processes. One use case is artificial intelligence (AI) used in quality control, which can reduce production costs and heavy labor. Training AI models requires large amounts of annotated data, which can be costly to obtain. READ MORE

3. 22. Spatiotemporal PET reconstruction with Learned Registration

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Pierre Meyrat; [2022]
   Keywords : PET; Tomographic reconstruction; Deep Learning; MLEM; PET; Tomografisk rekonstruktion; Deep Learning; MLEM;

   Abstract : Because of the long acquisition time of Positron Emission Tomography scanners, the reconstructed images are blurred by motion. We hereby propose a novel motion-correction maximum-likelihood expectation-maximization algorithm integrating 3D movements between the different gates estimated by a neural network trained on synthetic data with contrast invariance. READ MORE

4. 23. Impact of MR training data on the quality of synthetic CT generation

   University essay from Umeå universitet/Institutionen för fysik

   Author : Gustav Jönsson; [2022]
   Keywords : Generative adversarial network; Machine learning; Radiotherapy; Synthetic CT; MR; CT;

   Abstract : Both computed tomography (CT) and magnetic resonance imaging (MRI) have a purpose for radiotherapy. But having two imaging sessions brings uncertainty which makes it beneficial to create synthetic CT (sCT) images from MR images. In this work a Generative Adversarial Network (GAN) was designed and implemented for sCT generation. READ MORE

5. 24. An empirical comparison of generative capabilities of GAN vs VAE

   University essay from KTH/Datavetenskap

   Author : Norma Cristina Cueto Ceilis; Hanna Peters; [2022]
   Keywords : ;

   Abstract : Generative models are a family of machine learning algorithms that are aspire to enable computers to understand the real world. Their capability to understand the underlying distribution of data enables them to generate synthetic data from the data they are trained on. READ MORE

6. 25. Evaluating Transfer Learning Models on Synthetic Data for Beverage Label Image Retrieval : A Comparative Study

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Anton Brask; [2022]
   Keywords : ;

   Abstract : Information retrieval is a research area that has seen improvements with the development of deep learning and artificial neural networks. The vast amount of image data available today has made it possible to train computer vision models for efficient image search. READ MORE