Sökning: "Segmentation"

Visar resultat 1 - 5 av 666 uppsatser innehållade ordet Segmentation.

  1. 1. Artificiell Intelligens inom medicinsk bilddiagnostik : En allmän litteraturstudie

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för hälsovetenskap; Luleå tekniska universitet/Institutionen för hälsovetenskap

    Författare :Mats Rönnqvist; Magnus Johansson; [2019]
    Nyckelord :Artificial Intelligence; AI; Deep Learning; Machine Learning; CADe; CADx; Artificiell Intelligens; AI; djupinlärning; maskininlärning; CADe; CADx;

    Sammanfattning : Bakgrund: Artificiell Intelligens (AI) kommer in i vårt samhälle och våra hem i allt större utsträckning. Inom sjukvården och radiologin kan AI utgöra ett hjälpmedel för både radiologer och röntgensjuksköterskor i deras profession. LÄS MER

  2. 2. Adaptable Semi-Automated 3D Segmentation Using Deep Learning with Spatial Slice Propagation

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Niels Agerskov; [2019]
    Nyckelord :Deep learning; spatial propagation; image segmentation; semi-automated;

    Sammanfattning : Even with the recent advances of deep learning pushing the field of medical image analysis further than ever before, progress is still slow due to limited availability of annotated data. There are multiple reasons for this, but perhaps the most prominent one is the amount of time manual annotation of medical images takes. LÄS MER

  3. 3. Energy optimization tool for mild hybrid vehicles with thermal constraints

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Tomas Tamilinas; Chitranjan Singh; [2019]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The current global scenario is such where impact on the environment is becoming a rising concern. Global automotive manufacturers have focused more towards hybrid and electric vehicles as both more aware customers and governmental legislation have begun demanding higher emission standards. LÄS MER

  4. 4. Topology-guided analysis and visualization of charge density fields

    Master-uppsats, Linköpings universitet/Institutionen för fysik, kemi och biologiLinköpings universitet/Tekniska fakulteten

    Författare :Elvis Jakobsson; [2019]
    Nyckelord :Visualization; Topology; Charge density; Direct Volume Rendering; Crystal structure;

    Sammanfattning : Direct volume rendering techniques for scalar fields make use of transfer functions to map optical properties to the field; the field can subsequently be visualized through the drawing of isosurfaces in the volume spanned by the field. The utility of this approach is limited in the case of nested or clustered structures with the same isovalue and further does not easily allow for quantitative measurements of the visualized data. LÄS MER

  5. 5. Customer segmentation of retail chain customers using cluster analysis

    Master-uppsats, KTH/Matematisk statistik

    Författare :Sebastian Bergström; [2019]
    Nyckelord :Cluster analysis; customer segmentation; tEIGEN; MCLUST; K-means; NMF; Silhouette; Davies-Bouldin; big spenders; statistics; applied mathematics; unsupervised learning; Klusteranalys; kundsegmentering; tEIGEN; MCLUST; K-means; NMF; Silhouette; Davies-Bouldin; storkonsumenter; statistik; tillämpad matematik;

    Sammanfattning : In this thesis, cluster analysis was applied to data comprising of customer spending habits at a retail chain in order to perform customer segmentation. The method used was a two-step cluster procedure in which the first step consisted of feature engineering, a square root transformation of the data in order to handle big spenders in the data set and finally principal component analysis in order to reduce the dimensionality of the data set. LÄS MER