Sökning: "test-time data augmentation"

Hittade 3 uppsatser innehållade orden test-time data augmentation.

  1. 1. Uncertainty Estimation in Volumetric Image Segmentation

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

    Författare :Donggyun Park; [2023]
    Nyckelord :Uncertainty Estimation; Uncertainty Quantification UQ ; Volumetric Image Segmentation; 3D U-Net; test-time data augmentation; Deep ensemble;

    Sammanfattning : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. LÄS MER

  3. 2. Deep Learning for Chromosome Segmentation with Uncertainty Estimation

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

    Författare :Arvid Norström; [2021]
    Nyckelord :;

    Sammanfattning : Karyotyping, the process of pairing and ordering chromosomes, is an important tool for cytogenetic analysis to detect chromosome abnormalities. A trained specialist analyses the resulting image of the karyotyping, known as a karyogram, paying attention to the size, shape, and number of the chromosomes. LÄS MER

  4. 3. Building Detection in Deformed Satellite Images Using Mask R-CNN

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Gayatri Chitturi; [2020]
    Nyckelord :Building detection; Mask R-CNN; Test Time Augmentation.;

    Sammanfattning : Background: In the recent research of automatic building detection, aerial and satellite images are used. Automatic building detection from satellite images is useful for urban planning, after natural disasters for identifying the voids. LÄS MER