Sökning: "Segmentation"

Visar resultat 1 - 5 av 833 uppsatser innehållade ordet Segmentation.

  1. 1. Characterization of discrepancies between manual and automatic segmentation to improve anatomical brain atlases

    Master-uppsats,

    Författare :Anna Sörensson; [2021-05-10]
    Nyckelord :Medical physics; Anatomical brain atlas; Image segmentation; Image registration;

    Sammanfattning : Purpose: To characterize discrepancies between expert manually segmented brain images fromHammers Atlas Database and automatically generated segmentations of the same images; to decide whether they can be attributed to flaws in the automatic segmentation or in the manual segmentation; and to determine general rules that enable these decisions.Theory: Image segmentation plays an important role in clinical neuroscience and experimental medicine for extraction of information from medical images, and it is a fundamental image processing step in medical image analysis. LÄS MER

  2. 2. ATLAS DATABASES OF HUMAN BRAIN ANATOMY: QUALITATIVE AND QUANTITATIVE COMPARISON

    Master-uppsats,

    Författare :Amanda Philipsson Franzén; [2021-01-11]
    Nyckelord :Medical physics; Brain atlas concordance problem; Quantitative comparison; Qualitative comparison; Hammersmith; 2012 MICCAI Multi-Atlas Labelling Challenge Data;

    Sammanfattning : The purpose of this study was to quantitatively and qualitatively compare the two brain atlases databases, Hammersmith and 2012 MICCAI Multi-Atlas Labelling Challenge data, by developing a quantitative method.TheoryAnatomical atlases of the human brain provide reference information about its structure. LÄS MER

  3. 3. Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Christian von Koch; William Anzén; [2021]
    Nyckelord :deep learning; deep neural network; computer vision; image segmentation; iron ore pelletising plant; furnace slag-detection; U-Net; PSPNet;

    Sammanfattning : Image segmentation through neural networks and deep learning have, in the recent decade, become a successful tool for automated decision-making. For Luossavaara-Kiirunavaara Aktiebolag (LKAB), this means identifying the amount of slag inside a furnace through computer vision. LÄS MER

  4. 4. Content Marketing i musikbranschen : En kvalitativ studie om hur majorbolag använder sociala medier i marknadsföringen av musik

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för marknadsföring (MF); Linnéuniversitetet/Institutionen för marknadsföring (MF); Linnéuniversitetet/Institutionen för marknadsföring (MF)

    Författare :Frida Jansson; Max Nilsson; Felicia Oudin; [2021]
    Nyckelord :Content Marketing; Major labels; Social Media; Segmentation; Electronic Word of Mouth; Word of Mouth; Viral Marketing; Influencer Marketing; Targeting;

    Sammanfattning : Digitalization in the music industry and the emergence of social media, has created opportunities to reach more potential music consumers. Companies are increasingly integrating through visual media such as photos and videos into their social media marketing content. LÄS MER

  5. 5. Deep Learning with Importance Sampling for Brain Tumor MR Segmentation

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Hanna Westermark; [2021]
    Nyckelord :Deep learning; importance sampling; segmentation; convolutional neural networks; MRI; brain tumour; Djupinlärning; importance sampling; segmentering; faltningsnätverk; MRI; hjärntumör;

    Sammanfattning : Segmentation of magnetic resonance images is an important part of planning radiotherapy treat-ments for patients with brain tumours but due to the number of images contained within a scan and the level of detail required, manual segmentation is a time consuming task. Convolutional neural networks have been proposed as tools for automated segmentation and shown promising results. LÄS MER