Sökning: "Lung segmentation"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden Lung segmentation.

  1. 1. Clinical Assessment of Deep Learning-Based Uncertainty Maps in Lung Cancer Segmentation

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Federica Carmen Maruccio; [2023]
    Nyckelord :3D U-Net; Contouring; Clinical validation; Deep learning; Lung cancer; Monte Carlo dropout; Probability map; Reliability diagram; Segmentation; Uncertainty map;

    Sammanfattning : Prior to radiation therapy planning, tumours and organs at risk need to be delineated. In recent years, deep learning models have opened the possibility of automating the contouring process, speeding up the procedures and helping clinicians. LÄS MER

  3. 2. Segmentation of x-ray images using deep learning trained on synthetic data

    Master-uppsats, KTH/Fysik

    Författare :Marcus Larsson; [2023]
    Nyckelord :Radiography; Deep Learning; Synthetic Data; Segmentation; Röntgen; Djupinlärning; Syntetisk Data; Segmentering;

    Sammanfattning : Radiograph examinations play a critical role in various applications such as the detection of bone pathologies and lung cancer, despite the challenge of false negatives. The integration of Artificial Intelligence (AI) holds promise in enhancing image quality and assisting radiologists in their diagnostic processes. LÄS MER

  4. 3. Large-scale transfer of lesion segmentations from PET to CT

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Taeyang Choi; [2023]
    Nyckelord :;

    Sammanfattning : The introduction of AI technology has sparked a revolutionary lesion segmentation solution to address challenges in the medical field. After extensive research, the competencies of this technology have been verified. LÄS MER

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

    Master-uppsats, KTH/Fysik

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

    Sammanfattning : 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. LÄS MER

  7. 5. Segmentation and Prediction of Mutation Status of Malignant Melanoma Whole-slide Images using Deep Learning

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Elin Johansson; Fanny Månefjord; [2021]
    Nyckelord :deep learning; image analysis; malignant melanoma; tissue segmentation; mutation classification; Inception v3; Technology and Engineering;

    Sammanfattning : Malignant melanoma is an aggressive type of skin cancer. Gene mutations can make the disease progress faster, but specialised treatment exists. Today, gene mutations are detected with DNA-analysis which is costly and time-consuming. LÄS MER