Modified U-NET on CT images for automatic segmentation of liver and its tumor

Modified U-NET on CT images for automatic segmentation of liver and its tumor

Liver and tumor segmentation from abdominal CT images is a crucial phase in machine-assisted experimental involvements. FCNN has revealed extraordinary achievement in executing semantic segmentation by using convolutional layers for the whole planning and skip connections to combine diverse resoluti...

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Bibliographic Details
Main Authors: R.V. Manjunath, Karibasappa Kwadiki
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Biomedical Engineering Advances
Subjects:
Computed tomography
Semantic segmentation
Modified UNet
LITS,3D-IRCADb
Spatial information
Online Access:http://www.sciencedirect.com/science/article/pii/S2667099222000196

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http://www.sciencedirect.com/science/article/pii/S2667099222000196

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