Fig. 2.

Flowchart of the texture and texture-model construction. Texture analysis is performed for each LN segmented on 3D T2-weighted images. Feature selection is performed for the texture features of the LN with the largest least axis length. The number of the LNs and the total volume of all LNs defined as the sum of the volumes of all LNs are calculated. The texture model is constructed using the selected texture features of the LN with the largest least axis length by Random Forest. The texture-number model is constructed using the texture features and the number of LNs. The texture-volume model is constructed using the selected texture features of the LN with the largest least axis length and the total volume of all LNs by Random Forest. The texture-number-volume model is constructed using the texture features, the number of LNs, and the total volume of all LNs. LN, lymph node; T2 weighted imaging (T2WI).