@inproceedings{9619140de22447c9afa3b4a5510d0aab,
title = "Density analysis of collagen fibers based on enhanced frangi filter in Second Harmonic Generation virtual biopsy images",
abstract = "The density of collagen fibers are automatically evaluated by the proposed algorithm based on enhanced Frangi filter. In optical virtual biopsy, Second Harmonic Generation (SHG) microscopy has been developed and applied to observe collagen fibers in the dermal layer of the human skin. The density of collagen fibers is a feature to describe the condition of collagen fibers which can provide indicator for the early pathological diagnosis and aging characteristic in SHG images. The proposed algorithm is capable of objectively and effectively reflecting that the distributions of collagen fibers are close or loose in virtual biopsy images as revealed by the experimental results. Moreover, the proposed method provides insight into identifying the correlation between the early symptoms of diseases and the density of collagen fibers.",
author = "Cai, {Cheng Syun} and Chen, {Chun Fu} and Lee, {Gwo Giun Chris} and Lin, {Guan Liang} and Chou, {Sin Yo} and Tsai, {Ming Rung} and Liao, {Yi Hua} and Sun, {Chi Kuang}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 ; Conference date: 09-07-2014 Through 13-07-2014",
year = "2014",
month = sep,
day = "3",
doi = "10.1109/ChinaSIP.2014.6889286",
language = "English",
series = "2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "465--469",
booktitle = "2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings",
address = "United States",
}