Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease
RIS ID
128361
Abstract
With the increasing amounts of high-dimensional heterogeneous data to be processed, multi-modality feature selection has become an important research direction in medical image analysis.
Publication Details
Zu, C., Wang, Y., Zhou, L., Wang, L. & Zhang, D. (2018). Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease. IEEE International Symposium on Biomedical Imaging (pp. 1542-1545). United States: IEEE.