Essays about: "network tomography thesis"

Showing result 6 - 10 of 27 essays containing the words network tomography thesis.

  1. 6. Neuromorphic Medical Image Analysis at the Edge : On-Edge training with the Akida Brainchip

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

    Author : Ebba Bråtman; Lucas Dow; [2023]
    Keywords : ;

    Abstract : Computed Tomography (CT) scans play a crucial role in medical imaging, allowing neuroscientists to identify intracranial pathologies such as haemorrhages and malignant tumours in the brain. This thesis explores the potential of deep learning models as an aid in intracranial pathology detection through medical imaging. READ MORE

  3. 7. 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

  4. 8. 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

  5. 9. Learning the Forward Operator in Photon-Counting Computed Tomography

    University essay from KTH/Matematik (Avd.)

    Author : Emanuel Ström; [2021]
    Keywords : Photon-Counting; Computed Tomography; Spectral CT; Regularisation; Deep Learning; Fotonräknande; Datortomografi; Spektral CT; Regularisering; Djupinlärning;

    Abstract : Computed Tomography (CT) is a non-invasive x-ray imaging method capable of reconstructing highly detailed cross-sectional interior maps of an object. CT is used in a range of medical applications such as detection of skeletal fractures, organ trauma and artery calcification. READ MORE

  6. 10. 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