Sökning: "Ahmad Sadek"

Hittade 2 uppsatser innehållade orden Ahmad Sadek.

  1. 1. Primary stage Lung Cancer Prediction with Natural Language Processing-based Machine Learning

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

    Författare :Ahmad Sadek; [2022]
    Nyckelord :Lung cancer; precision medicine; machine learning; explainable AI; Natural Language Processing NLP; patient stratification; oncology; Lungcancer; precisionsmedicin; maskininlärning; NLP; förklarbar AI; patientstratifiering; onkologi;

    Sammanfattning : Early detection reduces mortality in lung cancer, but it is also considered as a challenge for oncologists and for healthcare systems. In addition, screening modalities like CT-scans come with undesired effects, many suspected patients are wrongly diagnosed with lung cancer. LÄS MER

  3. 2. Iterative Reconstruction Algorithm for Phase-Contrast X-Ray Imaging

    Kandidat-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Ahmad Sadek; Ruben Pozzi; [2020]
    Nyckelord :Computed tomography; Medical research; Phase-contrast imaging; Propagation-based imaging; SIRT; Iterative algorithm; Paganin’s phase-retrieval; Datortomografi; Medicinsk forskning; Faskontrastavbildning; Propagation-baserad avbildning; SIRT; Iterativ algoritm; Paganins fasåterhämtning;

    Sammanfattning : Phase-contrast imaging (PCI) is a modality of medical x-ray imaging that can solve one of the main limitations with conventional attenuation-based imaging: the imaging of materials with low attenuation coefficients, such as soft tissues. A modality of PCI, Propagation-based phase-contrast imaging (PBI), was used in this project. LÄS MER