Correlation Coefficient based Supervised Locally Linear Embedding for Pulmonary Nodule Recognition

• A correlation coefficient is introduced to adjust the distance metric in the supervised locally linear embedding to ensure more suitable neighbors that could be chosen, and thus to enhance the discriminating power of embedded data.• The method is validated on a clinical lung image database.
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Source Type: research