Sökning: "Cancer detection"

Visar resultat 16 - 20 av 174 uppsatser innehållade orden Cancer detection.

  1. 16. Prediction of the gain in classification performance from combining multiple imaging modalities

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Roman Denkin; [2023]
    Nyckelord :;

    Sammanfattning : In this work, we investigate the relationship between different image modalities and classification performance, aiming to predict the potential gain in classification accuracy when combining multiple modalities. We analyze mathematical and statistical measures and develop novel reconstruction measures (RMSE and RSSIM) to assess information distribution between different image modalities. LÄS MER

  3. 17. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets

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

    Författare :Abdi Gobena; [2023]
    Nyckelord :Machine learning; Neural networks; Skin cancer; PAD-UFES-20; ISIC; Maskininlärning; Neuronnätverk; Hudcancer; PAD-UFES-20; ISIC;

    Sammanfattning : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. LÄS MER

  4. 18. Generation of a new ADAPT library for stability improvement

    Master-uppsats, KTH/Proteinvetenskap

    Författare :Sumant Yogesh Salphale; [2023]
    Nyckelord :Phage display; CEACAM5; EpCAM; Trop2; ADAPT; ABD; protein engineering; cancer detection; Fag-display; CEACAM5; EpCAM; Trop2; ADAPT; ABD; proteinteknik; cancerdetektion;

    Sammanfattning : Under senare år har målinriktad terapi varit ett växande område inom cancerterapi som en mer målinriktad behandling än kemoterapi. Dessa behandlingar baseras främst på antikroppsbaserade läkemedel som är ganska stora och komplexa, vilket ökar den totala kostnaden för behandlingen. LÄS MER

  5. 19. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging

    Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Alice Fracchia; [2023]
    Nyckelord :Skin cancer; carcinoma; photoacoustic imaging; ultrasound imaging; machine learning; dimensionality reduction; sandpiles algorithm; active contour; multilayer perception MLP ; convolutional neural networks CNN ; autoencoder; Physics and Astronomy;

    Sammanfattning : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. LÄS MER

  7. 20. Detection and quantification of post-translational modifications in non-invasive samples : Phosphoproteins as biomarkers and a market analysis of protein quantification technologies

    Kandidat-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Sammi Baudin; Hillevi Fjellström; Aron Kraft; Erica Lamberg; Måns Rosenbaum; Hanna Sjöstrand; [2023]
    Nyckelord :Phorphorylation; Proteomics; Biomarkers; Phosphoproteins; PTM; Amyotrophic lateral sclerosis; ALS; Alzheimer s disease; Parkinson s disease; Cancer; xMAP; SIMOA; NULISA; PEA; ELISA; Mass spectrometry; SomaScan;

    Sammanfattning : Post-translational modifications (PTMs) of proteins can be a sign and/or cause of disease. These modified proteins have the potential to be used as biomarkers for diagnostic purposes. However, research in the field is limited. LÄS MER