Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6855130 | Expert Systems with Applications | 2018 | 12 Pages |
Abstract
Density of a mammogram patch is important for classification, and has not been studied exhaustively. The Image Retrieval in Medical Application (IRMA) database from RWTH Aachen, Germany is a standard database that provides mammogram patches, and most researchers have tested their frameworks only on a subset of patches from this database. We apply our two new descriptors on all images of the IRMA database for density wise classification, and compare with the standard descriptors. We achieve higher accuracy than all of the existing standard descriptors (more than 92%).
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Aditya A. Shastri, Deepti Tamrakar, Kapil Ahuja,