Essays about: "Image Denoising"

Showing result 1 - 5 of 25 essays containing the words Image Denoising.

1. 1. Despeckling Echocardiograms Using Generative Adversarial Networks

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

   Author : Falk DIppel; [2023-10-23]
   Keywords : Generative adversarial network; deep learning; echocardiography; speckle noise; denoising; segmentation;

   Abstract : Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information regarding the quality of denoised echos and explainability of useful GAN components is provided. READ MORE

3. 2. Quality enhancement of time-resolved computed tomography scans with cycleGAN

   University essay from Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

   Author : Johannes Stubbe; [2023]
   Keywords : carbon fibers; carbon fibres; microfibers; tomography; deep learning; cycleGAN; time-resolved tomography; Physics and Astronomy;

   Abstract : Time-resolved x-ray tomography enables us to dynamically and non-destructively study the interior of a specimen. The obtainable temporal resolution is limited by the x-ray flux and the desired spatial resolution. READ MORE

4. 3. Emphysema Classification via Deep Learning

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Olov Molin; [2023]
   Keywords : Deep learning; emphysema; CNN;

   Abstract : Emphysema is an incurable lung airway disease and a hallmark of Chronic Obstructive Pulmonary Disease (COPD). In recent decades, Computed Tomography (CT) has been used as a powerful tool for the detection and quantification of different diseases, including emphysema. The use of CT comes with a potential risk: ionizing radiation. READ MORE

5. 4. Image Colorization Based on Deep Learning

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

   Author : Tao Deng; [2023]
   Keywords : Image colorization; Deep Learning; Convolutional Neural Network; Generative Adversarial Network; Färgläggning av bilder; djupinlärning; Konvolutionella Neurala Nätverk; Generativa Adversariella Nätverk;

   Abstract : With the development of artificial intelligence, there is a clear trend to combine computer technology with traditional industries. In recent years, with the development of digital media technology, many methods for coloring gray-scale images have been proposed. READ MORE

6. 5. Evaluation of Computer Tomography based Cancer Diagnostics with the help of 3D Printed Phantoms and Deep Learning

   University essay from KTH/Skolan för teknikvetenskap (SCI)

   Author : Alex Back; Pontus Pandurevic; [2023]
   Keywords : Machine Learning; Deep Learning; Convolutional Neural Networks; Perception Loss; CNN; DL; ML; Computer Tomography; CT; Cancer Diagnostics; Evaluation of Image Reconstruction; Radiomics; Tumors; 3D Printed Phantoms; 3D Printing; PLA;

   Abstract : Computed x-ray tomography is one of the most common medical imaging modalities andas such ways of improving the images are of high relevance. Applying deep learningmethods to denoise CT images has been of particular interest in recent years. READ MORE