NUCLEI SEGMENTATION OF FLUORESCENCE MICROSCOPY IMAGES BASED ON MIDPOINT ANALYSIS AND MARKED POINT PROCESS

被引：0

作者：

Gadgil, Neeraj J. ^{[1
]}

Salama, Paul ^{[2
]}

Dunn, Kenneth W. ^{[3
]}

Delp, Edward J. ^{[1
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, Video & Image Proc Lab, W Lafayette, IN 47907 USA

[2] Indiana Univ Purdue Univ, Dept Elect & Comp Engn, Indianapolis, IN 46202 USA

[3] Indiana Univ, Sch Med, Div Nephrol, Indianapolis, IN USA

来源：

2016 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION (SSIAI) | 2016年

关键词：

biomedical image segmentation; marked point process; fluorescence microscopy; 2-PHOTON MICROSCOPY; EXTRACTION; ALGORITHM; DYNAMICS; KIDNEY; SPACES; MODEL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Microscope image analysis is challenging because of non-uniform brightness, decreasing image contrast with tissue depth, poor edge details and irregular and unknown structures. In this paper, we present a nuclei segmentation and counting method using midpoint analysis, shape-based function optimization and a MPP simulation with a spatial birth-death process. Preliminary results demonstrate efficacy of the proposed method.

引用

页码：37 / 40

页数：4

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