| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T459 |
0-143 |
Sentence |
denotes |
Grad-CAM59 in the Pytorch framework was used to visualize the salient features that contributed the most to the prediction output of the model. |
| T460 |
144-390 |
Sentence |
denotes |
Given a target category, the Grad-CAM performed back-propagation to obtain the final CNN feature maps and the gradient of the feature maps; only pixels with positive contributions to the specified category were retained through the ReLU function. |
| T461 |
391-590 |
Sentence |
denotes |
The Grad-CAM method was used for all test data set (X-data and CT-data) in the CNNCF without changing the framework structure to obtain a visual output of the framework’s high discriminatory ability. |
