Apr 16, 2021 · While, it is challenging and yet significant in clinical applications to retrieve diagnostically relevant regions from a database that consists ...
Bibliographic details on Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions.
A novel CBHIR framework for regions retrieval from WSI-database based on hierarchical graph neural networks (GNNs) is proposed, which makes the retrieval ...
In this paper, we propose a novel CBHIR framework for regions retrieval from WSI-database based on hierarchical graph neu- ral networks (GNNs). Compared to the ...
Missing: GCNs | Show results with:GCNs
Apr 16, 2021 · Content-based histopathological image retrieval (CBHIR) has become popular in recent years in the domain of histopathological image analysis ...
Oct 13, 2019 · In this paper, we propose a novel CBHIR framework for regions retrieval from WSI-database based on hierarchical graph neural networks (GNNs).
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions ... While, it is challenging and yet significant ...
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions ... While, it is challenging and yet significant ...
Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions ... Abstract:Content-based histopathological ...
This paper proposes a novel framework for regions retrieval from WSI-database based on hierarchical graph convolutional networks (GCNs) and Hash technique, ...