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Found 1 from your keywords: author=Sagita, Devinka Intan
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PENGEMBANGAN ARSITEKTUR 3D U-NET DENGAN RESIDUAL NETWORK DAN INCEPTIONV3 UNTU…
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Sagita, Devinka Intan

A lung cancer diagnosis can be performed using 3D CT scan images. Cancerous areas are identified through a segmentation process. This study develops a 3D U-Net with Residual Network (ResNet) and InceptionV3 to segment lung cancer in 3D CT scans. The 3D U-Net architecture was applied because it can exploit volumetric spatial information in 3D CT scan images. ResNet is applied to the encoder sect…

Edition
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ISBN/ISSN
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Collation
xvii, 131 hlm.; ilus.; tab.; 29 cm.
Series Title
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Call Number
T1944042026