histocartography.ml.layers.constants module¶

Summary¶

Functions:

`aggregate_max`
`aggregate_mean`
`aggregate_min`
`aggregate_std`
`aggregate_var`
`min_nodes`
`reduce_max`
`reduce_min`
`scale_amplification`
`scale_attenuation`
`scale_identity`

min_nodes(graph, features)[source]¶

reduce_min(x, dim)[source]¶

reduce_max(x, dim)[source]¶

aggregate_mean(h)[source]¶

aggregate_max(h)[source]¶

aggregate_min(h)[source]¶

aggregate_std(h)[source]¶

aggregate_var(h)[source]¶

scale_identity(h, D=None, avg_d=None)[source]¶

scale_amplification(h, D, avg_d)[source]¶

scale_attenuation(h, D, avg_d)[source]¶

Reference¶

If you use histocartography in your projects, please cite the following:

@inproceedings{pati2021,
    title = {Hierarchical Graph Representations for Digital Pathology},
    author = {Pushpak Pati, Guillaume Jaume, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosuè Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani},
    booktitle = {https://arxiv.org/pdf/2102.11057},
    year = {2021}
}