Semi-supervised multi-class pneumonia classification using a CNN-cascade forest framework
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Researchers are exploring the use of artificial intelligence and deep learning frameworks for pneumonia classification and detection. Various approaches are being investigated, including the use of convolutional neural networks and transformer-based models. The specific methods being developed involve multimodal imaging fusion and text-guided networks for analyzing chest CT scans to classify and detect pneumonia.