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Fig. 2 | Cancer Imaging

Fig. 2

From: Real-time automatic prediction of treatment response to transcatheter arterial chemoembolization in patients with hepatocellular carcinoma using deep learning based on digital subtraction angiography videos

Fig. 2

Workflow of DSA-Net. The procedure of DSA-Net contains imaging acquisition, key frame selection, and construction of segmentation network and prediction network. The segmentation network consists of a temporal difference learning module, a liver region segmentation sub-network, and a final fusion segmentation sub-network. The prediction network included a ResNet18 for image data and a multi-layer perceptron for tabular data

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Cancer Imaging

ISSN: 1470-7330

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