Sökning: "Carlo Bild"

Visar resultat 6 - 10 av 17 uppsatser innehållade orden Carlo Bild.

  1. 6. Incorporating Metadata Into the Active Learning Cycle for 2D Object Detection

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

    Författare :Karsten Stadler; [2021]
    Nyckelord :Active learning; Deep Learning; Object detection; Metadata; Nuscenes Nuimages; Gaussian mixture model; Rejection sampling; Monte-Carlo methods; Aktiv Inlärning; Djupinlärning; Objektdetektering; metadata; Nuscenes Nuimages; Gaussisk blandingsmodell; Rejection sampling; Monte-Carlo metoder;

    Sammanfattning : In the past years, Deep Convolutional Neural Networks have proven to be very useful for 2D Object Detection in many applications. These types of networks require large amounts of labeled data, which can be increasingly costly for companies deploying these detectors in practice if the data quality is lacking. LÄS MER

  3. 7. Noise Reduction of Scintillation Camera Images Using UNET: A Monte Carlo Simulation Approach

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :Johanna Korpijärvi; [2021]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Background The project aims to reduce the noise in planar 111-In projections with a machine learning model. Method Sixteen base phantoms were used to create 696 phantoms in XCAT. An anterior planar projection was simulated with 111-In and ten uptake curves for each phantom in SIMIND. LÄS MER

  4. 8. Machine Learning for Automation of Chromosome based Genetic Diagnostics

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

    Författare :Gongchang Chu; [2020]
    Nyckelord :Genetic Diagnostics; Abnormality Detection; Transfer Learning; Deep Learning; Uncertainty Estimation; Genetisk diagnos; onormal detektion; överföringsinlärning; djupinlärning; osäkerhetsuppskattning;

    Sammanfattning : Chromosome based genetic diagnostics, the detection of specific chromosomes, plays an increasingly important role in medicine as the molecular basis of hu- man disease is defined. The current diagnostic process is performed mainly by karyotyping specialists. LÄS MER

  5. 9. A Confidence Measure for Deep Convolutional Neural Network Regressors

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

    Författare :Elin Samuelsson; [2020]
    Nyckelord :;

    Sammanfattning : Deep convolutional neural networks can be trained to estimate gaze directions from eye images. However, such networks do not provide any information about the reliability of its predictions. As uncertainty estimates could enable more accurate and reliable gaze tracking applications, a method for confidence calculation was examined in this project. LÄS MER

  7. 10. Optimization of Acquisition Time for 177- Lu SPECT with Two Energy Windows

    Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

    Författare :Fanny Mörnsjö Centofanti; [2019]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Background & Aim: The imaging process following the treatment of 177Lu-DOTATATE is in some medical clinics demanding on both patients and the clinic. Usually a number of images are acquired, with different time intervals to the time of injection. LÄS MER