Fully Automatic Liver Attenuation Estimation combining CNN Segmentation and Morphological Operations

doi:doi:10.57702/ibrku0ij

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.

BibTex:

@dataset{Yuankai_Huo_and_James_G_Terry_and_Jiachen_Wang_and_Sangeeta_Nair_and_Thomas_A_Lasko_and_Barry_I_Freedman_and_J_Jeffery_Carr_and_Bennett_A_Landman_2025,
    abstract = {The ALARM method is a fully automated liver attenuation estimation method that combines deep convolutional neural network (DCNN) and morphological operations.},
    author = {Yuankai Huo and James G. Terry and Jiachen Wang and Sangeeta Nair and Thomas A. Lasko and Barry I. Freedman and J. Jeffery Carr and Bennett A. Landman},
    doi = {10.57702/ibrku0ij},
    institution = {No Organization},
    keyword = {'Deep Learning', 'Liver Attenuation Estimation', 'Medical Imaging', 'Morphological Operations'},
    month = {jan},
    publisher = {TIB},
    title = {Fully Automatic Liver Attenuation Estimation combining CNN Segmentation and Morphological Operations},
    url = {https://service.tib.eu/ldmservice/dataset/fully-automatic-liver-attenuation-estimation-combining-cnn-segmentation-and-morphological-operations},
    year = {2025}
}