Fig. 2: Proposed network model for response prediction (3D RP-Net).
From: Predicting treatment response from longitudinal images using multi-task deep learning
a The multi-task deep learning network consists of two subnetworks: one for feature extraction and tumor segmentation, and one for response prediction. The network takes pre- and post-therapy images as inputs and performs two tasks simultaneously: tumor segmentation and response prediction. b Depth-wise convolution of pre- and post-therapy images at multiple network layers for multi-scale feature integration and response prediction.
