A Dynamic Quantum Clustering Approach to Brain Tumor Segmentation

Abstract

Data clustering has been widely used in data analysis and classification. In the present work, a method based on dynamic quantum clustering is proposed for the segmentation and analysis of brain tumor MRI. The results open the possibility of applications to multi modality medical imaging.

References in corpus (4)

• Dynamic quantum clustering: a method for visual exploration of structures in data
• Analyzing Big Data with Dynamic Quantum Clustering
• Complexity of Brain Tumors
• Data clustering based on Langevin annealing with a self-consistent potential