NDLI: Size-invariant cell nucleus segmentation in 3-D microscopy

Content Provider	IEEE Xplore Digital Library
Author	Ram, S. Rodriguez, J.J. Bosco, G.
Copyright Year	2012
Description	Author affiliation: Department of Electrical and Computer Engineering, University of Arizona, Tucson, USA (Ram, S.; Rodriguez, J.J.) \|\| Department of Molecular and Cellular Biology, University of Arizona, Tucson, USA (Bosco, G.)
Abstract	Accurate segmentation of 3-D cell nuclei in microscopy images is an essential task in many biological studies. Traditional image segmentation methods are challenged by the complexity and variability of microscope images, so there is a need to improve segmentation accuracy and reliability, as well as the level of automation. In this paper we present a novel automated algorithm for robust segmentation of 3-D cell nuclei using a combination of ideas. Our algorithm includes the following steps: image denoising, binarization, seed detection using the fast radial symmetric transform (FRST), initial segmentation using the random walker algorithm and the 3-D watershed algorithm, and final refinements using 3-D active contours. We show that our algorithm provides improved accuracy compared to existing segmentation algorithms.
Starting Page	37
Ending Page	40
File Size	578694
Page Count	4
File Format	PDF
ISBN	9781467318310
e-ISBN	9781467318303
e-ISBN	9781467318297
DOI	10.1109/SSIAI.2012.6202447
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Clustering algorithms Algorithm design and analysis Active contours Transforms Microscopy Histograms watershed algorithm random walker algorithm
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A watershed and active contours based method for dendritic spine segmentation in 2-photon microscopy images

Automatic ore image segmentation using mean shift and watershed transform

Integrated active contours for texture segmentation

Statistical solution to watershed over-segmentation

An improved random walker using spatial feature for image segmentation

Segmentation and Recognition of Marrow Cells Image Based on Wavelet and Genetic Cluster

An improved watershed algorithm for counting objects in noisy, anisotropic 3-D biological images

Level Set Based Segmentation of Cell Nucleus in Fluorescence Microscopy Images Using Correntropy-Based K-Means Clustering

A combined watershed segmentation approach using k-means clustering for mammograms

Size-invariant cell nucleus segmentation in 3-D microscopy

Similar Documents

A watershed and active contours based method for dendritic spine segmentation in 2-photon microscopy images

Automatic ore image segmentation using mean shift and watershed transform

Integrated active contours for texture segmentation

Statistical solution to watershed over-segmentation

An improved random walker using spatial feature for image segmentation

Segmentation and Recognition of Marrow Cells Image Based on Wavelet and Genetic Cluster

An improved watershed algorithm for counting objects in noisy, anisotropic 3-D biological images

Level Set Based Segmentation of Cell Nucleus in Fluorescence Microscopy Images Using Correntropy-Based K-Means Clustering

A combined watershed segmentation approach using k-means clustering for mammograms

Size-invariant cell nucleus segmentation in 3-D microscopy