Fig. 2
From: KNN algorithm for accurate identification of IFP lesions in the knee joint: a multimodal MRI study
3D Feature Distribution of Knee Joint Pathologies and Visualization of the KNN Classification Process. Note: (A) 3D feature distribution of FF, T2*, and T2 values in different pathological states of the knee joint. Each point represents a sample from different pathology groups: red for the acute trauma group, blue for the degenerative group, and pink for the normal group. (B) Schematic representation of the KNN algorithm for knee joint pathology classification. Xu represents the sample to be classified, and W1, W2, and W3 represent the cluster regions for acute trauma, degenerative pathology, and normal samples, respectively. All data were acquired through multimodal MRI, standardized, and analyzed using 3D visualization and classification techniques.
