Graph Neural Networks for Digital Pathology

Graph Neural Networks for Digital Pathology

Graph Neural Networks (GNNs), introduced in 2017, are a category of deep learning models specially designed to handle graph-structured data, allowing them to capture the intricate relationships and dependencies within complex data structures. The graph learning tasks can be either node-level, edge-...

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Bibliographic Details
Main Authors: Vincenzo DELLA MEA, Hafsa AKEBLI, Kevin ROITERO
Format: Article
Language:English
Published: Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca 2025-05-01
Series:Applied Medical Informatics
Subjects:
Graph Neural Networks (GNNs)
Medical Imaging Processing
Digital Pathology
Online Access:https://ami.info.umfcluj.ro/index.php/AMI/article/view/1202
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