LNDetector: Automatic Detection, Segmentation and Classification System of Pulmonary Nodules in Images Computerised Tomography (Q2906022)

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Project Q2906022 in Portugal
Language Label Description Also known as
English
LNDetector: Automatic Detection, Segmentation and Classification System of Pulmonary Nodules in Images Computerised Tomography
Project Q2906022 in Portugal

    Statements

    country
    Portugal
    0 references
    EU contribution
    168,460.65 Euro
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    budget
    198,189.0 Euro
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    co-financing rate
    85.0 percent
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    start time
    6 January 2016
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    end time
    30 November 2019
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    beneficiary name (string)
    INESC TEC - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIÊNCIA
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    summary
    None (Estonian)
    point in time
    29 July 2022
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    None (Lithuanian)
    point in time
    29 July 2022
    0 references
    None (Italian)
    point in time
    29 July 2022
    0 references
    None (French)
    point in time
    29 July 2022
    0 references
    None (Croatian)
    point in time
    29 July 2022
    0 references
    None (Greek)
    point in time
    29 July 2022
    0 references
    None (English)
    point in time
    29 July 2022
    readability score
    0.000011549073841409742
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    None (Slovak)
    point in time
    29 July 2022
    0 references
    None (Finnish)
    point in time
    29 July 2022
    0 references
    None (Polish)
    point in time
    29 July 2022
    0 references
    None (Hungarian)
    point in time
    29 July 2022
    0 references
    None (Dutch)
    point in time
    29 July 2022
    0 references
    None (Czech)
    point in time
    29 July 2022
    0 references
    None (Latvian)
    point in time
    29 July 2022
    0 references
    None (Irish)
    point in time
    29 July 2022
    0 references
    None (Slovenian)
    point in time
    29 July 2022
    0 references
    None (Spanish)
    point in time
    29 July 2022
    0 references
    None (Bulgarian)
    point in time
    29 July 2022
    0 references
    None (Maltese)
    point in time
    29 July 2022
    0 references
    None (Portuguese)
    point in time
    29 July 2022
    0 references
    None (Danish)
    point in time
    29 July 2022
    0 references
    None (Romanian)
    point in time
    29 July 2022
    0 references
    None (German)
    point in time
    29 July 2022
    0 references
    None (Swedish)
    point in time
    29 July 2022
    0 references
    date of last update
    14 November 2023
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    Identifiers

    Portuguese Kohesio ID
    POCI-01-0145-FEDER-016673
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