|Title:||Nuclei location enhancement based on improved efficient ellipse hough transform for third harmonic generation microscopy imaging||Authors:||Chou, Yi Hsuan
Shih, Han Ting
Sun, Chi Kung
Lee, Gwo Giun Chris
Weng, Wei Hung
Hung, Shi Yu
|Keywords:||Adaptive Histogram Equalization (AHE) | cell detection | efficient ellipse Hough transform | nuclei location | Third Harmonic Generation (THG)||Issue Date:||31-Aug-2015||Source:||2015 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2015 - Proceedings||Abstract:||
© 2015 IEEE. Instead of conventional manual cell segmentation, this paper introduces a computer-Aided diagnosis protocol based on non-invasive in vivo virtual biopsy, third harmonic generation (THG) microscopy, which provides consistency and prompt suggestions for immediate clinical decisions without pain to patients. Specifically, we present a nuclei location re-inspection mechanism using enhanced efficient ellipse Hough transform with labeling and weighting information building upon previous watershed-based nuclei segmentation. This transform approach cautiously identifies nuclei location by considering not only staining intensity, but also examine shape feature to enhance the accuracy of nuclei recognition. The current approach has been implemented and tested on about 400 THG images from 25 healthy volunteers, and the receiver operating characteristic (ROC) curve has demonstrated the better performance of decreased false positive rate and increased true positive rate as compared to other nuclei location detection algorithms.
|Appears in Collections:||生醫電子與資訊學研究所|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.