A Novel Approach to Segment and Classify Regional Lymph Nodes on Computed Tomography Images

Algorithm 1

Backward selection.

for each sample {𝑥_𝑖,𝑦_𝑖}∈𝑅^𝑀×{−1,1},𝑖=1,…,𝑛𝐝𝐨

  Feature subset construction 𝑆={𝑥_𝑘,𝑙∣𝑙≠𝑖,𝑖−1,…,1} by excluding the first 𝑖th feature

Train 𝑖th SVM using 𝑆;

Compute the lost function of Loss(𝑖) using (9);

𝐞𝐧𝐝𝐟𝐨𝐫

Maximize the energy function of 𝑝=max_𝑖Loss(𝑖) to find a feature subset 𝑆^∗.