@inproceedings{4593176f788c4f268ae9586f73c57c11,
title = "Automatic detection of spiculated masses using fractal analysis in digital mammography",
abstract = "This paper describes the development of a system for the automatic detection of speculated masses in digital mammography. We have adopted the lattice space as an image domain model and a distance measure to describe image shapes precisely in pixel scale. Based on the model, we have developed a method to automatically determine binary mass shapes. The method is robust against noise and background brightness of mass region. We also have proposed a novel method in mapping a mass shape into a one-dimensional profile, and then quantified the irregularity of the mass shape by calculating the fractal dimension of the profile. Preliminary experimental results support the hypothesis of the speculation detection performance of the proposed method would show a possible solution for finding speculated masses.",
author = "Kim, \{Hyung Jun\} and Kim, \{Won Ha\}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 11th International Conference on Computer Analysis of Images and Patterns, CAIP 2005 ; Conference date: 05-09-2005 Through 08-09-2005",
year = "2005",
doi = "10.1007/11556121\_32",
language = "English",
isbn = "3540289690",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "256--263",
booktitle = "Computer Analysis of Images and Patterns - 11th International Conference, CAIP 2005, Proceedings",
address = "Germany",
}