Sökning: "Deep learning image reconstruction"

Visar resultat 1 - 5 av 35 uppsatser innehållade orden Deep learning image reconstruction.

  1. 1. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction

    Master-uppsats, KTH/Matematisk statistik

    Författare :Sabina Syed; Josefin Stenberg; [2023]
    Nyckelord :Adversarial Convex Regularization; Computer Vision; Cone Beam Computed Tomography; Convolutional Neural Networks; Deep Learning; Image Reconstruction; Adversarial Convex Regularization; Bildrekonstruktion; Datorseende; Djupinlärning; Faltningsnätverk; Volymtomografi;

    Sammanfattning : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. LÄS MER

  3. 2. Deep Learning for the prediction of RASER-MRI profiles

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik

    Författare :Filip Arvidsson; Jonas Bertilson; [2023]
    Nyckelord :MRI; NMR; AI; Deep Learning; RASER-MRI; Media Technology; KIT; LIU; CNN; Autoencoder; Djupinlärning; Medieteknik; Magnetröntgen;

    Sammanfattning : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. LÄS MER

  4. 3. Structure from Motion with a Neural Network

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Jiarong Gong; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. LÄS MER

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

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Alex Back; Pontus Pandurevic; [2023]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  7. 5. Resurrection of Our Ancestors : 3D face reconstruction of historical images and its use in face recognition

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Moa Li Lekander; [2023]
    Nyckelord :3D Computer Graphics; 3D Face Reconstruction; Face Recognition; Face Frontalization; Machine Learning; Deep Learning; Artificial Intelligence; Historical Images; Image Analysis; City Faces; Stockholm City Museum; Stockholm City Archive; Stadens Ansikten; Stadsmuseet; Stadsarkivet;

    Sammanfattning : In the field of face recognition one challenge is to recognize individuals in photographs taken of the person in profile. In this project it was investigated whether 3D face reconstructions could improve the face recognition results in these cases. LÄS MER