Sökning: "Lung tumour"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden Lung tumour.

  1. 1. Correlation between Surface and Tumour Motion in Lung Cancer - including Deep Learning Perspectives

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :Caisa Kjellström; [2023]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Purpose: The purpose of this master thesis was to retrospectively investigate correlation between surface and tumour motion in lung cancer patients, alongside deep learning applications of the results. Additional correlations such as age, tumour volume and anatomical placement of the tumour were also investigated. LÄS MER

  3. 2. Är adalimumab en bra behandling mot reumatoid artrit i jämförelse med andra biologiska läkemedel?

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för kemi och biomedicin (KOB)

    Författare :Salim Awell Yasin; [2021]
    Nyckelord :RA; Adalimumab; DAS-28; ACR respons;

    Sammanfattning : Rheumatoid arthritis (RA) is an autoimmune disease, which causes joint inflammation. Different environmental and genetic factors such as smoking, anti-citrullinated protein antibody, rheumatoid factor, and certain MHC-alleles cause RA. It affects mostly women and it is characterised by joint swelling, pain, tiredness, and stiffness. LÄS MER

  4. 3. Deep-learning based prediction model for dose distributions in lung cancer patients

    Master-uppsats, Stockholms universitet/Fysikum

    Författare :Terese Hellström; [2021]
    Nyckelord :;

    Sammanfattning : Background To combat one of the leading causes of death worldwide, lung cancer treatment techniques and modalities are advancing, and the treatment options are becoming increasingly individualized. Modern cancer treatment includes the option for the patient to be treated with proton therapy, which can in some cases spare healthy tissue from excessive dose better than conventional photon radiotherapy. LÄS MER

  5. 4. 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

  7. 5. Studying the Whole Through the Sum of its Parts: Comparing CD8+ Tumour Infiltrating Lymphocytes in Three Types of Human Carcinoma

    Kandidat-uppsats, Lunds universitet/Läkarutbildningen

    Författare :Gustav Christensson; [2020]
    Nyckelord :Cancer; immunotherapy; scRNA-seq; tumour-infiltrating lymphocyte; CD8 T cells; Medicine and Health Sciences;

    Sammanfattning : Background: Tumour-infiltrating lymphocytes (TILs) that persist in chronic infections gradually lose their effector functions and become “exhausted”. Immune checkpoint blockade is an emerging cancer treatment which aims to induce exhausted TILs into regaining their effector function to fight neoplastic cells. LÄS MER