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Best Paper Award Al “Third International Workshop On Graphs In Biomedical Image AnaLysis ”

Best Paper Award of GRAIL, the Third International Workshop on Graphs in biomedical Image anaLysis, a satellite event of MICCAI 2020, for the work “HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification”, with the ICAR contribution of  the co-authors Nadia Brancati, Giuseppe De Pietro, Maria Frucci, Daniel Riccio.

This paper proposed a novel hierarchical cell-to-tissue-graph (HACT) representation to improve the description of breast cancer histological preparations to be elaborated by a hierarchical neural network for a classification in cancer subtypes.

This work was carried out within the project “Development of methodologies and tools for the identification of atypical tumors in breast cancer pathology through the automatic analysis of histological images”, defined by the Collaboration Agreement between CNR, IRCSS- Pascale Foundation and IBM.


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