Overview of the combined algorithm
| Algorithm 1: Combined Algorithm |
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| Require: X: CT volume, shape = D × H × W |
| Require: xi=X(Li), (i=1, .…, k): CT voxel patch |
| Require: yi = M(xi): yi is the output of the last layer (softmax activation function) of the model M, yi has 1 more dimension than xi, and this dimension has 3 channels. Each channel refers to the probability of the corresponding voxel belonging to background or bone or nerve, respectively. |
| 1) Initialize: Y ← 0 |
| 2) For xi ∈ X,(i = 1, …, k) do |
| 3) Y(Li,:) + = yi |
| 4) End for |
| 5) S ← arg max(Y, axis = −1) (find the channel with the largest value in the last dimension) |
| 6) Return S (the automatic mask) |
Note:—M indicates the model (network); L, location of the CT voxel patch x at the CT volumn X; Y, summed probability; max, maximum.