@inproceedings{5c432d83fcc84410be9c508789251392,
title = "Local Greylevel Appearance Histogram Based Texture Segmentation",
abstract = "We have developed a segmentation approach, which is based on modelling local texture information and incorporates both greylevel and spatial aspects. Variation in local greylevel configuration/appearance is represented in histogram format for which the distribution varies with texture appearance. Segmentation results based on full mammographic images are presented. In addition, the potential use of the segmentation results for mammographic risk assessment and abnormality detection is discussed.",
keywords = "mammographic density, segmentation result, local binary pattern, local window, mammographic image",
author = "Reyer Zwiggelaar",
year = "2010",
month = jun,
day = "17",
doi = "10.1007/978-3-642-13666-5_24",
language = "English",
isbn = "978-3-642-13665-8",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "175--182",
editor = "{Mart{\'i} }, Joan and Arnau Oliver and Jordi Freixenet and {Mart{\'i} }, Robert",
booktitle = "Digital Mammography",
address = "Switzerland",
note = "10th International Workshop on Digital Mammography, IWDM 2010 ; Conference date: 16-06-2010 Through 18-06-2010",
}