February 16, 2023 Software Open Access

Lizzi Francesca; Postuma Ian; Cabini Raffaella; Brero Francesca; Fantacci M. Evelina; Lascialfari Alessandro; Oliva Piernicola; Retico Alessandra

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        "affiliation": "Istituto Nazionale di Fisica Nucleare", 
        "name": "Lizzi Francesca", 
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        "affiliation": "Istituto Nazionale di Fisica Nucleare", 
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        "affiliation": "Universit\u00e0 di Pavia", 
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        "affiliation": "Istituto Nazionale di Fisica Nucleare", 
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        "affiliation": "Universit\u00e0 di Pisa", 
        "name": "Fantacci M. Evelina"
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        "affiliation": "Universit\u00e0 di Pavia", 
        "name": "Lascialfari Alessandro"
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      {
        "affiliation": "Universit\u00e0 di Sassasi", 
        "name": "Oliva Piernicola"
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    "description": "<p>LungQuant is a software for the quantification of lesions in CT scans of COVID-19 patients.</p>\n\n<p>Its functioning is based on a cascade of three Convolutional Neural Networks (CNN):</p>\n\n<p>1) the first one is used to produce a bounding box enclosing the lungs;</p>\n\n<p>2) the second CNN is used to segment the lungs;</p>\n\n<p>3) the third CNN is devoted to lesion segmentation.</p>\n\n<p>The system takes in input&nbsp; Computed Tomography (CT) scans in nifti format.</p>\n\n<p>The system returns in output: the lungs and lesion masks and other information that can be useful to describe the infection.</p>", 
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