Hierarchical graph representations in digital pathology

Autor: Giosuè Scognamiglio, Daniel Riccio, Anna Maria Anniciello, Jean-Philippe Thiran, Pushpak Pati, Gerardo Botti, Nadia Brancati, Antonio Foncubierta-Rodríguez, Maria Gabrani, Florinda Feroce, Estelle Dubruc, Maryse Fiche, Maria Frucci, Orcun Goksel, Guillaume Jaume, Giuseppe De Pietro, Maurizio Di Bonito

Publikováno v: Medical Image Analysis, 75
Medical image analysis
75 (2022). doi:10.1016/j.media.2021.102264
info:cnr-pdr/source/autori:P. Pati, G. Jaume, A. Foncubierta, F. Feroce, A. M. Anniciello, G. Scognamiglio, N. Brancati, M.Fiche, E. Dubruc, D.Riccio, M. Di Bonito, G. De Pietro, G. Botti, J. P. Thiran, M. Frucci, O. Goksel, M. Gabrani/titolo:Hierarchical Graph Representations in Digital Pathology/doi:10.1016%2Fj.media.2021.102264/rivista:Medical image analysis (Print)/anno:2022/pagina_da:/pagina_a:/intervallo_pagine:/volume:75

Cancer diagnosis, prognosis, and therapy response predictions from tissue specimens highly depend on the phenotype and topological distribution of constituting histological entities. Thus, adequate tissue representations for encoding histological ent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::945b138e29ccc1a7248502c97c7b2204
https://doi.org/10.1016/j.media.2021.102264