Sökning: "computed tomography CT"

Visar resultat 1 - 5 av 181 uppsatser innehållade orden computed tomography CT.

  1. 1. Bilddiagnostik av barn ochungdomar vid skolios : En jämförande litteraturstudie mellan konventionell röntgen, datortomografi och entrepreneurial operating system

    Kandidat-uppsats, Örebro universitet/Institutionen för hälsovetenskaper

    Författare :Ida Söderberg; Van Najm; [2023]
    Nyckelord :Computed tomography; conventional radiography; entrepreneurial operating system; image diagnostics; radiation dose; Bilddiagnostik; datortomografi; entrepreneurial operating system; konventionell röntgen; stråldos;

    Sammanfattning : Bakgrund: Konventionell röntgen, datortomografi (DT) och entrepreneurial operating system (EOS) är tre radiologiska undersökningsmetoder som kan användas för bilddiagnostik vid skolios av barn och ungdomar. Undersökningarna kan genomföras i en liggande eller stående positionering vid bedömning av ryggradens deformation. LÄS MER

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

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

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

    Sammanfattning : 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. LÄS MER

  4. 3. Simulating metal ct artefacts for ground truth generation in deep learning.

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Arthur Barakat; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. LÄS MER

  5. 4. Emphysema Classification via Deep Learning

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Olov Molin; [2023]
    Nyckelord :Deep learning; emphysema; CNN;

    Sammanfattning : Emphysema is an incurable lung airway disease and a hallmark of Chronic Obstructive Pulmonary Disease (COPD). In recent decades, Computed Tomography (CT) has been used as a powerful tool for the detection and quantification of different diseases, including emphysema. The use of CT comes with a potential risk: ionizing radiation. LÄS MER

  7. 5. Self-learning for 3D segmentation of medical images from single and few-slice annotation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Côme Lassarat; [2023]
    Nyckelord :Self-supervised Learning; Segmentation; Medical images; Självövervakad inlärning; segmentering; medicinska bilder;

    Sammanfattning : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. LÄS MER