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Showing result 1 - 5 of 48 essays matching the above criteria.

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

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Arthur Barakat; [2023]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE

  3. 2. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning

    University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

    Author : David Rydgård; [2023]
    Keywords : Fiber networks; Paperboard mechanics; Deep learning; Tomography; Image analysis; Technology and Engineering;

    Abstract : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. READ MORE

  4. 3. Self-supervised pre-training of an attention-based model for 3D medical image segmentation

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

    Author : Albert Sund Aillet; [2023]
    Keywords : Computer vision; Deep learning; 3D Medical image segmentation; Self-supervised learning; Datorseende; Djupinlärning; 3D Medicinsk bildsegmentering; Självövervakad träning;

    Abstract : Accurate segmentation of anatomical structures is crucial for radiation therapy in cancer treatment. Deep learning methods have been demonstrated effective for segmentation of 3D medical images, establishing the current standard. However, they require large amounts of labelled data and suffer from reduced performance on domain shift. READ MORE

  5. 4. Computer-Aided Characterization of Lung - Segmentation and Vessel Tree Analysis Algorithms for Clinical Research Applications

    University essay from KTH/Fysik

    Author : Daniel Karoumi; [2023]
    Keywords : Lung; lung segmentation; NSIP; IPF; lung vessels; lung morphometry; 3D Slicer; Lunga; lungsegmentering; NSIP; IPF; lungkärl; lung morfometri; 3D Slicer;

    Abstract : The initial stage of a lung examination involves the segmentation of a CT image, a process that has been put under a lot of pressure with the high demand for chest scans and accurate segmentations. Current automatic segmentation algorithms are either non-robust for different datasets, not easily accessible, or time-consuming. READ MORE

  6. 5. Toward Equine Gait Analysis : Semantic Segmentation and 3D Reconstruction

    University essay from Linköpings universitet/Datorseende

    Author : Evelina Hult; [2023]
    Keywords : Deep Learning; Computer Vision; Semantic Segmentation; Structure-from-Motion; Equine Gait Analysis; Harness Racing Horses; Engineering and Technology; Natural Sciences; Computer Vision Laboratory;

    Abstract : Harness racing horses are exposed to high workload and consequently, they are at risk of joint injuries and lameness. In recent years, the interest in applications to improve animal welfare has increased and there is a demand for objective assessment methods that can enable early and robust diagnosis of injuries. READ MORE