Fig. 12 | Scientific Reports

Fig. 12

From: An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images

Fig. 12

Visual explanations for three sub-datasets using deep networks Inception, VGG-16, and Xception models for normal and abnormal cases. The first row displays the original images, followed by three rows showcasing Grad-CAM results for each model and the final row illustrates Grad-CAM++ results for the Xception model.

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