Fig. 2
From: Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
The architecture used in the study. Pre-processed BS scans resized to 512 * 512 dimensions were provided as input to the network. The network outputs a probability score for presence and absence of metastasis on BS images. X = block repetitions, Conv = Convolution kernel, ReLU = rectified linear unit, 3 × 3 = the size of the 2D CNN kernels