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Fig. 2 | BMC Medicine

Fig. 2

From: A deep learning model combining circulating tumor cells and radiological features in the multi-classification of mediastinal lesions in comparison with thoracic surgeons: a large-scale retrospective study

Fig. 2

The structures of DMFN and RegNet models. A DMFN model: Combines CT image features and CTC data through convolutional and fully connected layers, fusing them for multi-class classification via a softmax layer. B RegNet model: Extracts features from CT images using sequential convolutional layers with dimensionality reduction to enhance generalization and improve feature extraction efficiency

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BMC Medicine

ISSN: 1741-7015

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