@inproceedings{584ddd614251427c9d55657c26ac9dea,
title = "Automated quantification of lymph node size and number in surgical specimens of stage II colorectal cancer",
abstract = "An automated image analysis method for quantification of the size and number of lymph nodes in surgical specimens of stage II colorectal cancer is presented. The quantification is made using routine histopathologic sections of lymph nodes that have been dissected by pathologists from resection specimens. The hematoxylin and eosin stained sections on slides are imaged with a standard image scanner. Each obtained image can contain multiple slides. The first task is to detect the slides. Then, the lymph nodes are detected and their size is assessed using K-means clustering and morphological image processing. The results are found to correlate well with results that have been obtained manually. The method has proven useful for predicting survival in stage II colorectal cancer.",
keywords = "Colorectal cancer, Image analysis, K-means clustering, Lymph nodes, Quantification, Segmentation",
author = "Antti Niemist{\"o} and Ilya Shmulevich and Olli Yli-Harja and Chirieac, {Lucian R.} and Hamilton, {Stanley R.}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 ; Conference date: 01-09-2005 Through 04-09-2005",
year = "2005",
doi = "10.1109/iembs.2005.1615941",
language = "English (US)",
isbn = "0780387406",
series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6313--6316",
booktitle = "Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005",
}