Sökning: "receiver operating characteristic"

Visar resultat 26 - 30 av 45 uppsatser innehållade orden receiver operating characteristic.

  1. 26. Modifying a Protein-Protein Interaction Identifier with a Topology and Sequence-Order Independent Structural Comparison Method

    Master-uppsats, Linköpings universitet/Bioinformatik

    Författare :Joakim Johansson; [2018]
    Nyckelord :PPI; Protein-protein interaction; Machine learning; Protein modelling; Structural bioinformatics; Structural alignment; Sequence-order independent;

    Sammanfattning : Using computational methods to identify protein-protein interactions (PPIs) supports experimental techniques by using less time and less resources. Identifying PPIs can be made through a template-based approach that describes how unstudied proteins interact by aligning a common structural template that exists in both interacting proteins. LÄS MER

  3. 27. Deep Learning to Predict Hip Fracture Risk from Clinical DXA-images

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Karin Yip; Meral Husein; [2018]
    Nyckelord :hip fracture; osteoporosis; deep learning; neural network; DXA; Technology and Engineering;

    Sammanfattning : Osteoporosis is a bone disease that is defined as low bone mineral density (BMD) and results in an increased risk of bone fracture. It is a serious public health problem that causes excess mortality and major economical and social impact. Today there are more than 8.9 million fractures connected to low bone mineral density worldwide. LÄS MER

  4. 28. Utvärdering av aktivt B12 som markör vid bristanemiutredningar

    M1-uppsats, Högskolan i Jönköping/HHJ, Avd. för naturvetenskap och biomedicin

    Författare :Aleksandra Semionova; Hanan Dayeh; [2018]
    Nyckelord :active B12; deficiency; anemia; accurancy; aktivt B12; brist; anemi; träffsäkerhet;

    Sammanfattning : Avsaknad av en ”gyllene standard” och en låg sensitivitet hos förstahandsmarkören total B12 har varit de stora begränsningarna i diagnostiken av vitamin B12-brist anemier. Med syftet att förbättra diagnostiken av bristanemier vid Länssjukhuset Ryhov, Jönköping utvärderades användningen av aktivt B12 vid bristanemiutredningar och en metodverifiering för analysen genomfördes på ARCHITECT i2000SR. LÄS MER

  5. 29. Mammography Classification and Nodule Detection using Deep Neural Networks

    Master-uppsats, KTH/Numerisk analys, NA

    Författare :Fabian Sinzinger; [2017]
    Nyckelord :;

    Sammanfattning : Mammographic screenings are the most common modality for an early detection of breast cancer, but a robust annotation of the depicted breast tissue presents an ongoing challenge, even for well-experienced radiologists. Computer-aided diagnosis systems can support the human classification. LÄS MER

  7. 30. Classification of Prognosis in Breast Cancer Patients from AMCL Analysis using Machine Learning Techniques

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Johan Ruuskanen; Ola Andersson; [2017]
    Nyckelord :Breast Cancer; AMLC; Metastasis Prediction; Convolutional Neural Network; Machine Learning.; Mathematics and Statistics;

    Sammanfattning : Predicting the development of distant metastasis for breast cancer patients is of high importance for both the patient and the medical staff. The current best method for prediction is the use of handcrafted histopatological features. LÄS MER