Identifying transcriptomic correlates of histology using deep learning
Table 1
Convolutional neural network architectures used in this paper.
For ResNet34, the features considered involve only layers that are not “skipped over”, while for Inception_v3 only elementary layers with non-negative outputs (ReLU, max/avg-pooling) that are not on the auxiliary branch.