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

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

DOI retrieved: January 3, 2025

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
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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