Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9387304 | Academic Radiology | 2005 | 10 Pages |
Abstract
Computerized classification of cancer significantly improved when lesion features from both modalities were combined. Classification performance depended on specific methods for combining features from multiple images per lesion. These results are encouraging and warrant further exploration of computerized methods for multimodality imaging.
Related Topics
Health Sciences
Medicine and Dentistry
Radiology and Imaging
Authors
Karen PhD, Karla PhD, Maryellen L. PhD,