Sökning: "binary classifier"

Visar resultat 1 - 5 av 56 uppsatser innehållade orden binary classifier.

  1. 1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marisa Wodrich; [2024]
    Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER

  3. 2. Predicting Myocardial Injury After Noncardiac Surgery

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

    Författare :Giordano Cauli; [2023]
    Nyckelord :Myocardial injury; hypotension; machine learning; non-cardiac surgery; F1; Myokardiell skada; hypotension; maskininlärning; icke-kardiell kirurgi; F1;

    Sammanfattning : Myocardial injury is the leading cause of death in Europe following non-cardiac surgery. Its causes, diagnosis, and treatment are still under investigation by the scientific community. Some research groups have hypothesized a connection between myocardial injury and hypotension during surgery. LÄS MER

  4. 3. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier

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

    Författare :Ali Muquri; [2023]
    Nyckelord :;

    Sammanfattning : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. LÄS MER

  5. 4. Impact of Cell Type Selection on Binary Classification of Cervical Cancer using Convolutional Neural Networks : A Compatibility Analysis of Herlev and SIPaKMeD

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

    Författare :Elias Ram; Elias Stihl; [2023]
    Nyckelord :;

    Sammanfattning : Cervical cancer is one of the most common forms of cancer today, affecting women worldwide. Machine learning classifiers could potentially be utilized to aid in the diagnosis of cervical cancer, making screening more cost-effective. LÄS MER

  7. 5. Machine Learning based Predictive Data Analytics for Embedded Test Systems

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Fayad Al Hanash; [2023]
    Nyckelord :Machine learning; Artificial Intelligence; Predictive data analytics; Embedded test systems; Confusion matrix; Predictive maintenance; Support vector machines; Random forest; Gradient Boosting; Multi-layer perceptron; Binary classification; Multi-class classification;

    Sammanfattning : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. LÄS MER