Essays about: "Image-to-image Translation"

Showing result 1 - 5 of 19 essays containing the words Image-to-image Translation.

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. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Author : Thomas Proudhon; [2023]
   Keywords : Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

   Abstract : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. READ MORE

4. 3. Using Generative Adversarial Networks for H&E-to-HER2 Stain Translation in Digital Pathology Images

   University essay from Linköpings universitet/Institutionen för medicinsk teknik

   Author : William Tirmén; [2023]
   Keywords : Machine learning; Artificial intelligence; Digital pathology; Image processing; Generative adversarial networks; Image-to-image translation;

   Abstract : In digital pathology, hematoxylin & eosin (H&E) is a routine stain which is performed on most clinical cases and it often provides clinicians with sufficient information for diagnosis. However, when making decisions on how to guide breast cancer treatment, immunohistochemical staining of human epidermal growth factor 2 (HER2 staining) is also needed. READ MORE

5. 4. Generation of layouts for living spaces using conditional generative adversarial networks : Designing floor plans that respect both a boundary and high-level requirements

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

   Author : Anton Chen; [2022]
   Keywords : Generative adversarial networks; Pix2pixHD; Floor plan generation; Image-to-image translation; Computer-aided design; Generative adversarial networks; Pix2pixHD; Generering av planritningar; Bild-till-bild-översättning; Datorstödd design;

   Abstract : Architectural design is a complex subject involving many different aspects that need to be considered. Drafting a floor plan from a blank slate can require iterating over several designs in the early phases of planning, and it is likely an even more daunting task for non-architects to tackle. READ MORE

6. 5. Image-to-Image Translation for Improvement of Synthetic Thermal Infrared Training Data Using Generative Adversarial Networks

   University essay from Linköpings universitet/Datorseende

   Author : Hanna Hamrell; [2021]
   Keywords : machine learning; deep learning; image-to-image translation; image processing; generative adversarial networks; infrared images; computer vision;

   Abstract : Training data is an essential ingredient within supervised learning, yet time con-suming, expensive and for some applications impossible to retrieve. Thus it isof interest to use synthetic training data. However, the domain shift of syntheticdata makes it challenging to obtain good results when used as training data fordeep learning models. READ MORE