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Found 1 from your keywords: author="Jamal, Muhammad Luthfi...

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SEGMENTASI CITRA PARU-PARU MENGGUNAKAN ARSITEKTUR CUSTOM U-NET

Manual analysis of COVID-19 chest CT scans is often time-consuming and prone to subjectivity, thereby hindering diagnostic efficiency. Therefore, this study aims to develop an automatic segmentation system using a Custom U-Net architecture with a pre-trained DenseNet-169 encoder to accurately map infection areas, including Ground Glass Opacity (GGO), Consolidation, and Pleural Effusion classes.…

Edition: -
ISBN/ISSN: -
Collation: xx, V-20 hlm.; ilus.; 29 cm
Series Title: -
Call Number: T1961082026

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