Sökning: "Convolutional Neural Networks"

Visar resultat 1 - 5 av 569 uppsatser innehållade orden Convolutional Neural Networks.

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

    Master-uppsats,

    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. Estimation of Height, Weight, Sex and Age from Magnetic Resonance Images using 3D Convolutional Neural Networks

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Carl Nimhed; [2022]
    Nyckelord :mr; magnetic resonance; machine learning; deep learning;

    Sammanfattning : Magnetic resonance imagining is a non-invasive 3D imaging technology widely used in the medical field for partial and full body scans. AMRA Medical AB is a medical company which combines MRI images with additional patient attributes such as height, weight, sex and age to perform analysis such as body composition profiling. LÄS MER

  3. 3. Automatic Quality Assessment of Dermatology Images : A Comparison Between Machine Learning and Hand-Crafted Algorithms

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Hasseli Zahra; Anwia Odisho Raamen; [2022]
    Nyckelord :;

    Sammanfattning : In recent years, pictures from handheld devices such as smartphones have been increasingly utilized as a documentation tool by medical practitioners not trained to take professional photographs. Similarly to the other types of image modalities, the images should be taken in a way to capture the vital information in the region of interest. LÄS MER

  4. 4. GPS-Free UAV Geo-Localization Using a Reference 3D Database

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Justus Karlsson; [2022]
    Nyckelord :Deep Learning; Machine Learning; ML; AI; UAV; GPS-Free; CNN; 3D CNN; GCNN; 3D Database; geolocalization; geo-localization; georegistration; Hidden Markov Model; HMM; satellite; satellite database; Batch-Hard; triplet loss; PyTorch Geometric;

    Sammanfattning : The goal of this thesis has been global geolocalization using only visual input and a 3D database for reference. In recent years Convolutional Neural Networks (CNNs) have seen huge success in the task of classifying images. The flattened tensors at the final layers of a CNN can be viewed as vectors describing different input image features. LÄS MER

  5. 5. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Anna Phan; Rogelio Medina; [2022]
    Nyckelord :Human Detection; Machine Learning; Convolutional Neural Networks; YOLO; FMCW Radar; Human Detection Evaluation; Människodetektering; Maskininlärning; Neurala faltningsnät; Djupa faltningsnät; YOLO; FMCW Radar; Utvärdering;

    Sammanfattning : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. LÄS MER