Essays about: "PSNR"

Showing result 1 - 5 of 48 essays containing the word PSNR.

1. 1. Using Neural Radiance Fields and Gaussian Splatting for 3D reconstruction of aircraft inspections

   University essay from Lunds universitet/Matematik LTH

   Author : Roos Eline Bottema; [2024]
   Keywords : Technology and Engineering;

   Abstract : The rapid evolution of machine learning techniques has revolutionized computer vision, particularly with the introduction of Neural Radiance Fields (NeRF) and the optimization of 3D Gaussians for rendering novel scene views. These methods, such as NeRF and Gaussian Splatting, have demonstrated success in synthetic data scenarios with consistent lighting and well-captured scenes. READ MORE

3. 2. Limited angle reconstruction for 2D CT based on machine learning

   University essay from KTH/Skolan för teknikvetenskap (SCI)

   Author : Eric Oldgren; Knut Salomonsson; [2023]
   Keywords : CT; computed tomography; limited angle; machine learning; limited data; ill posed problem; inverse problem;

   Abstract : The aim of this report is to study how machine learning can be used to reconstruct 2 dimensional computed tomography images from limited angle data. This could be used in a variety of applications where either the space or timeavailable for the CT scan limits the acquired data.In this study, three different types of models are considered. READ MORE

4. 3. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Alex Peschel; [2023]
   Keywords : Artificial Intelligence; Microorganisms; Segmentation; Synthesizing; Augmentation;

   Abstract : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. READ MORE

5. 4. 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

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