Search Results - "I.4.6 [Image Processing and Computer Vision]: Segmentation-Pixel classification"

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  1. 1

    Learning Probabilistic Transfer Functions: A Comparative Study of Classifiers by Soundararajan, K. P., Schultz, T.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.06.2015
    Published in Computer graphics forum (01.06.2015)
    “…Complex volume rendering tasks require high‐dimensional transfer functions, which are notoriously difficult to design. One solution to this is to learn…”
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    Journal Article
  2. 2

    GEMSe: Visualization-Guided Exploration of Multi-channel Segmentation Algorithms by Fröhler, B., Möller, T., Heinzl, C.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.06.2016
    Published in Computer graphics forum (01.06.2016)
    “…We present GEMSe, an interactive tool for exploring and analyzing the parameter space of multi‐channel segmentation algorithms. Our targeted user group are…”
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    Journal Article
  3. 3

    Visualizing the Uncertainty of Graph‐based 2D Segmentation with Min‐path Stability by Summa, B., Tierny, J., Pascucci, V.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.06.2017
    Published in Computer graphics forum (01.06.2017)
    “…This paper presents a novel approach to visualize the uncertainty in graph‐based segmentations of scalar data. Segmentation of 2D scalar data has wide…”
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    Journal Article
  4. 4

    Towards a Support System for Digital Mammogram Classification by Bajcsi, A.

    ISSN: 1224-869X, 2065-9601
    Published: Babes-Bolyai University, Cluj-Napoca 15.12.2021
    “…Cancer is the illness of the 21th century. With the development of technology some of these lesions became curable, if they are in an early stage. Researchers…”
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    Journal Article