Shape-based segmentation of nucleus cell / Nor Azira Mohammed Ariffin

This thesis presents a shape-based segmentation of nucleus cell. Immunohistochemistry (IHC) is commonly used by pathologists to detect specific types of cells. The use of IHC has found for many areas of applications especially in prostate cancer diagnosis. Commonly, diagnostic decisions are made by...

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Bibliographic Details
Main Author:	Mohammed Ariffin, Nor Azira
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Cell culture
Online Access:	https://ir.uitm.edu.my/id/eprint/87167/1/87167.pdf
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id	my-uitm-ir.87167
record_format	uketd_dc
spelling	my-uitm-ir.871672024-02-24T16:33:21Z Shape-based segmentation of nucleus cell / Nor Azira Mohammed Ariffin 2012 Mohammed Ariffin, Nor Azira Cell culture This thesis presents a shape-based segmentation of nucleus cell. Immunohistochemistry (IHC) is commonly used by pathologists to detect specific types of cells. The use of IHC has found for many areas of applications especially in prostate cancer diagnosis. Commonly, diagnostic decisions are made by assessing sample cells. Pathologists will evaluate the cells from diverse diagnostically important parameter including number, size, shapes and textures of cells. However, the cell may be clustered and the image may have a lot of noise that make the diagnosis hard to be precise and accurate. Therefore, the following processes are being applied to segment the abnormal cell. The first step involves the converting RGB color image to grey scale color. 2012 Thesis https://ir.uitm.edu.my/id/eprint/87167/ https://ir.uitm.edu.my/id/eprint/87167/1/87167.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Jamil, Nursuriati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Jamil, Nursuriati
topic	Cell culture
spellingShingle	Cell culture Mohammed Ariffin, Nor Azira Shape-based segmentation of nucleus cell / Nor Azira Mohammed Ariffin
description	This thesis presents a shape-based segmentation of nucleus cell. Immunohistochemistry (IHC) is commonly used by pathologists to detect specific types of cells. The use of IHC has found for many areas of applications especially in prostate cancer diagnosis. Commonly, diagnostic decisions are made by assessing sample cells. Pathologists will evaluate the cells from diverse diagnostically important parameter including number, size, shapes and textures of cells. However, the cell may be clustered and the image may have a lot of noise that make the diagnosis hard to be precise and accurate. Therefore, the following processes are being applied to segment the abnormal cell. The first step involves the converting RGB color image to grey scale color.
format	Thesis
qualification_level	Bachelor degree
author	Mohammed Ariffin, Nor Azira
author_facet	Mohammed Ariffin, Nor Azira
author_sort	Mohammed Ariffin, Nor Azira
title	Shape-based segmentation of nucleus cell / Nor Azira Mohammed Ariffin
title_short	Shape-based segmentation of nucleus cell / Nor Azira Mohammed Ariffin
title_full	Shape-based segmentation of nucleus cell / Nor Azira Mohammed Ariffin
title_fullStr	Shape-based segmentation of nucleus cell / Nor Azira Mohammed Ariffin
title_full_unstemmed	Shape-based segmentation of nucleus cell / Nor Azira Mohammed Ariffin
title_sort	shape-based segmentation of nucleus cell / nor azira mohammed ariffin
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/87167/1/87167.pdf
_version_	1794192115906904064

Shape-based segmentation of nucleus cell / Nor Azira Mohammed Ariffin

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