Essays about: "network tomography thesis"

Showing result 11 - 15 of 27 essays containing the words network tomography thesis.

  1. 11. Exploring Deep Learning Frameworks for Multiclass Segmentation of 4D Cardiac Computed Tomography

    University essay from Linköpings universitet/Institutionen för hälsa, medicin och vård

    Author : Norman Janurberg; Christian Luksitch; [2021]
    Keywords : Computed Tomography; Multiclass Segmentation; Image Segmentation; 4D; Deep Learning; MONAI; Unet; Cropping network; Multiaxis Segmentation;

    Abstract : By combining computed tomography data with computational fluid dynamics, the cardiac hemodynamics of a patient can be assessed for diagnosis and treatment of cardiac disease. The advantage of computed tomography over other medical imaging modalities is its capability of producing detailed high resolution images containing geometric measurements relevant to the simulation of cardiac blood flow. READ MORE

  3. 12. Statistical and Machine Learning for assessment of Traumatic Brain Injury Severity and Patient Outcomes

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Md Abdur Rahman; [2021]
    Keywords : TBI Traumatic brain injury ; Metabolites; Glasgow coma scale; Severity; Patient outcomes; CT positive negative; Random Forest; Boruta; Lasso regression; Ridge regression; Neural network; Deep learning.;

    Abstract : Traumatic brain injury (TBI) is a leading cause of death in all age groups, causing society to be concerned. However, TBI diagnostics and patient outcomes prediction are still lacking in medical science. READ MORE

  4. 13. Automated 3D Bone Segmentation using Deep Learning in Scoliosis

    University essay from Lunds universitet/Matematik LTH

    Author : Andreas Bennström; Filip Winzell; [2021]
    Keywords : Deep learning; Scoliosis; U-net; Bone segmentation; Image segmentation; Semantic segmentation; Computed Tomography; Mathematics and Statistics;

    Abstract : Background: Scoliosis is a condition where a person's spine is curved and rotated in three dimensions. In severe cases, surgery is needed to straighten the spine. Before such complex procedures, meticulous planning is needed. By performing a CT-scan, images of the spine can be acquired. READ MORE

  5. 14. Segmentation and synthesis of pelvic region CT images via neural networks trained on XCAT phantom data

    University essay from Linköpings universitet/Datorseende

    Author : HANG ZHAO; [2021]
    Keywords : ;

    Abstract : Deep learning methods for medical image segmentation are hindered by the lack of training data. This thesis aims to develop a method that overcomes this problem. Basic U-net trained on XCAT phantom data was tested first. The segmentation results were unsatisfactory even when artificial quantum noise was added. READ MORE

  6. 15. Segmentation of People and Vehicles in Dense Voxel Grids from Photon Counting LiDAR using 3D-Unet

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

    Author : Fredrik Danielsson; [2021]
    Keywords : Deep Learning; LiDAR; Segmentation; Dense Voxel Grids; Single Photon Counting; Machine Learning; 3D U-Net; Convolutional Neural Network;

    Abstract : In recent years, the usage of 3D deep learning techniques has seen a surge,mainly driven by advancements in autonomous driving and medical applications.This thesis investigates the applicability of existing state-of-the-art 3Ddeep learning network architectures to dense voxel grids from single photoncounting 3D LiDAR. READ MORE