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Implementation of Automatic Segmentation Framework as Preprocessing Step for Radiomics Analysis of Lung Anatomical Districts

<b>Background:</b> The advent of artificial intelligence has significantly impacted radiology, with radiomics emerging as a transformative approach that extracts quantitative data from medical images to improve diagnostic and therapeutic accuracy. This study aimed to enhance the radiomic workflow by...

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Principais autores: Alessandro Stefano, Fabiano Bini, Nicolò Lauciello, Giovanni Pasini, Franco Marinozzi, Giorgio Russo
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2024-12-01
Series:BioMedInformatics
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Acceso en liña:https://www.mdpi.com/2673-7426/4/4/125
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