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Fully Automatic Liver Attenuation Estimation combining CNN Segmentation and Morphological Operations

The ALARM method is a fully automated liver attenuation estimation method that combines deep convolutional neural network (DCNN) and morphological operations.

Data and Resources

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Cite this as

Yuankai Huo, James G. Terry, Jiachen Wang, Sangeeta Nair, Thomas A. Lasko, Barry I. Freedman, J. Jeffery Carr, Bennett A. Landman (2025). Dataset: Fully Automatic Liver Attenuation Estimation combining CNN Segmentation and Morphological Operations. https://doi.org/10.57702/ibrku0ij

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Additional Info

Field	Value
Created	January 3, 2025
Last update	January 3, 2025
Defined In	https://doi.org/10.1002/mp.13675
Author	Yuankai Huo
More Authors	James G. Terry Jiachen Wang Sangeeta Nair Thomas A. Lasko Barry I. Freedman J. Jeffery Carr Bennett A. Landman
Homepage	https://github.com/MASILab/ALARM