Three-Dimensional Spatiotemporal Features for Fast Content-Based Retrieval of Focal Liver Lesions

Abstract

Content-based image retrieval systems for 3-D medical datasets still largely rely on 2-D image-based features extracted from a few representative slices of the image stack. Most 2-D features that are currently used in the literature not only model a 3-D tumor incompletely but are also highly expensive in terms of computation time, especially for high… (More)
DOI: 10.1109/TBME.2014.2329057

Topics

14 Figures and Tables

Statistics

050100150201520162017
Citations per Year

Citation Velocity: 27

Averaging 27 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Slides referencing similar topics