NDLI: A System for the Determination of Image Density and Morphometry Developed for the Analysis of Malignant Nuclei

Content Provider	IEEE Xplore Digital Library
Author	Isotani, S. Brasil Fo, N. Capeli, O.M. Sakai, Y.I. de Albuquerque, A.R.P.L.
Copyright Year	2007
Description	Author affiliation: Univ. of Sao Paulo, Sao Paulo (Isotani, S.; Brasil Fo, N.; Capeli, O.M.)
Abstract	This paper describes SPCIM, a system developed for the analysis of image density and morphometry of malignant nuclei. The SPCIM has been applied in analysis of images from needle aspirations specimens, cervical intraepithelial neoplasia samples, smear of normal reproductive women and uterine-cervix smears slides of HIV-positive patients. Also, the SPCIM was applied with success in the Brazilian Papanicolaou quality control system. The main modules of the program SPCIM are "Image Acquisition", "Image Saving", "Nuclei Demarcation" and "Marked Nuclei Analysis". In this paper we emphasizes the algorithms of the module "Nuclei Demarcation", for dark regions, segmentation, area threshold, counting of regions, borderline of regions and validation of regions, that were adapted to optimize the functionality of SPCIM.
Starting Page	263
Ending Page	268
File Size	530427
Page Count	6
File Format	PDF
ISBN	0769529054
ISSN	10637125
DOI	10.1109/CBMS.2007.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-20
Publisher Place	Slovenia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Cancer Optical microscopy Needles Neoplasms Quality control Laboratories Image segmentation Physics Indium tin oxide
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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

Automatic segmentation of biomedical images

Symbol-Based Machine Learning Approach for Supervised Segmentation of Follicular Lymphoma Images

Automated diagnosis of human intestinal parasites using optical microscopy images

Image segmentation method based on particle measurements for charged particle transition analysis in e-paper

Statistical pattern analysis of white blood cell nuclei morphometry

Multispectral Structures for Imaging Applications

Japan's commercial development of the electron microscope

Characteristics of indium-tin-oxide thin films deposited by e-beam evaporator at high-temperature

Computer morphometry for liver fibrosis using an automatic image analysis system

A System for the Determination of Image Density and Morphometry Developed for the Analysis of Malignant Nuclei

Similar Documents

Automatic segmentation of biomedical images

Symbol-Based Machine Learning Approach for Supervised Segmentation of Follicular Lymphoma Images

Automated diagnosis of human intestinal parasites using optical microscopy images

Image segmentation method based on particle measurements for charged particle transition analysis in e-paper

Statistical pattern analysis of white blood cell nuclei morphometry

Multispectral Structures for Imaging Applications

Japan's commercial development of the electron microscope

Characteristics of indium-tin-oxide thin films deposited by e-beam evaporator at high-temperature

Computer morphometry for liver fibrosis using an automatic image analysis system

A System for the Determination of Image Density and Morphometry Developed for the Analysis of Malignant Nuclei