Name
Title | ||
|---|---|---|
A Principal Neighborhood Aggregation-Based Graph Convolutional Network for Pneumonia Detection |
Abstract | ||
|---|---|---|
Pneumonia is one of the main causes of child mortality in the world and has been reported by the World Health Organization (WHO) to be the cause of one-third of child deaths in India. Designing an automated classification system to detect pneumonia has become a worthwhile research topic. Numerous deep learning models have attempted to detect pneumonia by applying convolutional neural networks (CNNs) to X-ray radiographs, as they are essentially images and have achieved great performances. However, they failed to capture higher-order feature information of all objects based on the X-ray images because the topology of the X-ray images' dimensions does not always come with some spatially regular locality properties, which makes defining a spatial kernel filter in X-ray images non-trivial. This paper proposes a principal neighborhood aggregation-based graph convolutional network (PNA-GCN) for pneumonia detection. In PNA-GCN, we propose a new graph-based feature construction utilizing the transfer learning technique to extract features and then construct the graph from images. Then, we propose a graph convolutional network with principal neighborhood aggregation. We integrate multiple aggregation functions in a single layer with degree-scalers to capture more effective information in a single layer to exploit the underlying properties of the graph structure. The experimental results show that PNA-GCN can perform best in the pneumonia detection task on a real-world dataset against the state-of-the-art baseline methods. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.3390/s22083049 | SENSORS |
Keywords | DocType | Volume |
pneumonia detection, transfer learning, convolution neural network, graph neural network, principal neighborhood aggregation | Journal | 22 |
Issue | ISSN | Citations |
8 | 1424-8220 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akram Ali Ali Guail | 1 | 0 | 0.34 |
| Gui Jinsong | 2 | 0 | 0.34 |
| Babatounde Moctard Oloulade | 3 | 0 | 0.34 |
| Raeed Alsabri | 4 | 1 | 0.70 |