Essays about: "network tomography thesis"

Showing result 1 - 5 of 20 essays containing the words network tomography thesis.

  1. 1. Pre-planning of Individualized Ankle Implants Based on Computed Tomography - Automated Segmentation and Optimization of Acquisition Parameters

    University essay from KTH/Fysik

    Author : Matilda Engström Messén; Elvira Moser; [2021]
    Keywords : osteochondral lesions of the talus; computed tomography; U-net; convolutional neural network; dice coefficient; fotled; ledbrosk; osteochondral lesion of the talus; datortomografi; U-net; convolutional neuralt nätverk; dicekoefficient;

    Abstract : The structure of the ankle joint complex creates an ideal balance between mobility and stability, which enables gait. If a lesion emerges in the ankle joint complex, the anatomical structure is altered, which may disturb mobility and stability and cause intense pain. READ MORE

  2. 2. Feasibility of Dynamic SPECT-Renography with Automated Evaluation Using a Deep Neural Network

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Viktor Rogowski; [2021]
    Keywords : Medicine and Health Sciences;

    Abstract : Introduction: Renography is a standard diagnostic examination that evaluates renal function, renal pelvic dilatation and urinary obstruction. Renography is performed by injecting a radiopharmaceutical (predominately 99mTc-MAG3) and using gamma camera to image the biodistribution in a dynamic sequence. READ MORE

  3. 3. Domain Adaptation for Combined CT and CBCT Deep Learning Segmentation

    University essay from Lunds universitet/Matematik LTH

    Author : Jonas Berg; [2021]
    Keywords : CT; CBCT; Deep Learning; Medical Image Segmentation; Radiotherapy; Domain Adaptation; CycleGAN; Domain Adversarial Neural Network; U-Net; Data Augmentation; Machine Learning; Technology and Engineering;

    Abstract : Computed tomography (CT) segmentation models are frequently used within radiotherapy treatment planning, but similar models are not available to the related imaging modality cone beam computed tomography (CBCT) due to the scarcity of labeled data from this domain. Such models could have multiple clinical applications whereby it is of interest to study whether the CT segmentation models can be adapted to generalize to the CBCT domain. READ MORE

  4. 4. 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

  5. 5. 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