Sökning: "Convolutional Neural Network"

Visar resultat 1 - 5 av 594 uppsatser innehållade orden Convolutional Neural Network.

  1. 1. Establishment of a deep learning algorithm for dosimetry of radiopharmaceuticals


    Författare :Dennis Lipnicevic; [2022-01-13]
    Nyckelord :Medical physics; automated segmentation; dosimetry; kidney; nuclear medicine dosimetry; deep learning; convolutional neural network;

    Sammanfattning : Purpose: The aim of this study was to introduce a volumetric convolutional neural network for segmentation of the kidneys in SPECT images and to apply it in the dosimetry of radiopharmaceuticals of this organ, in order to decrease segmentation time and to standardize the segmentation of the kidneys. Method: Three networks were trained using two network architectures and a total of 216 retrospectively collected images from patients that underwent imaging procedures at Sahlgrenska University Hospital between 2009 and 2018. LÄS MER

  2. 2. Modeling and Interpreting CTG Curves from Labor Using Machine Learning and Pattern Recognition

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Sandra Kandefelt; Sara Perklev; [2022]
    Nyckelord :machine learning; CTG; pattern recognition; labor; TOCO; FHR; Mathematics and Statistics;

    Sammanfattning : The main monitoring method during labor is cardiotocography, CTG, which measures the fetal heartbeat, FHR, as well as the uterine contractions, TOCO. The CTG is a valuable tool in assessing the fetal status and it is evaluated intermittently by clinicians during the progress of the labor. LÄS MER

  3. 3. Automated Digitization and Summarization of Analog Archives : Comparing summaries made by GPT-3 and a human

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Maja Linderholm; [2022]
    Nyckelord :;

    Sammanfattning : This thesis aimed to create a tool that could assist climate researchers in their fieldwork. Through dialog with researchers at Stockholms University a need and interest for automated digitization and summarization of their handwritten notes could be identified. LÄS MER

  4. 4. Iterative full-genome phasing and imputation using neural networks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Människans evolution

    Författare :Lotta Rydin; [2022]
    Nyckelord :Machine learning; Genotype data; U-Net; Convolutional neural networks;

    Sammanfattning : In this project, a model based on a convolutional neural network have been developed with the aim of imputing missing genotype data. This model was based on an already existing autoencoder that was modified into a U-Net structure. The network was trained and used iteratively with the intention that the result would improve in each iteration. LÄS MER

  5. 5. Prediction of the number of weekly covid-19 infections : A comparison of machine learning methods

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Nicklas Branding; [2022]
    Nyckelord :Machine learning; deep learning; covid-19; public health science; number of infection; regression; long short term memory; gated recurrent unit; support vector regressor; long short term memory-convolutional neural network; bidirectional-long short term memory;

    Sammanfattning : The thesis two-folded problem aim was to identify and evaluate candidate Machine Learning (ML) methods and performance methods, for predicting the weekly number of covid-19 infections. The two-folded problem aim was created from studying public health studies where several challenges were identified. LÄS MER