@inbook{2c79c755903b41e09fa64d4906da2cde,
title = "Adaptive microcalcification detection in computer aided diagnosis",
abstract = "Microcalcification detection is an important part of early breast cancer detection. In this paper, we propose a microcalcification detection method in mammography CAD (computer-aided diagnosis) system. The proposed microcalcification detection includes two parts. One is adaptive mammogram enhancement algorithm using homomorphic filtering in wavelet. The filter parameters are determined by background characteristics. The other is multi-stage microcalcification detection method. To verify our algorithm, we performed experiments and measured free-response operation characteristics (FROC) curve. The results show that the proposed microcalcification detection method is more robust for fluctuating noisy environments.",
author = "Kang, {Ho Kyung} and Kim, {Sung Min} and Thanh, {Nguyen N.} and Ro, {Yong Man} and Kim, {Won Ha}",
year = "2004",
doi = "10.1007/978-3-540-25944-2_144",
language = "English",
isbn = "3540221298",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1110--1117",
editor = "Marian Bubak and {van Albada}, {Geert Dick} and Sloot, {Peter M. A.} and Dongarra, {Jack J.}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}