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Image Processing in Breast Carcinoma Histopathological Image: A Review

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Main Authors: Tan, Xiao Jian, Nazahah, Mustafa, Mohd Yusoff, Mashor, Khairul Shakir, Ab Rahman
Other Authors: xj_0506@gmail.com
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2019
Subjects:
Biomedical Engineering
Image Processing
Breast Carcinoma
Nottingham Grading System
Quantitative Measurement
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57951
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id my.unimap-57951
record_format dspace
spelling my.unimap-579512019-01-15T02:38:32Z Image Processing in Breast Carcinoma Histopathological Image: A Review Tan, Xiao Jian Nazahah, Mustafa Mohd Yusoff, Mashor Khairul Shakir, Ab Rahman xj_0506@gmail.com Biomedical Engineering Image Processing Breast Carcinoma Nottingham Grading System Quantitative Measurement Link to publisher's homepage at http://jere.unimap.edu.my Breast carcinoma grading of histopathological images is the standard clinical practice for the prognosis and diagnosis of breast carcinoma development. The grading provides semi-quantitative assessment for mitotic activity, tubules formation and nucleus pleomorphism. Semi-quantitative scores obtained from the manual grading are inconsistent and may lead to inter- and intra- raters variability. Fortunately, the recent advances in image processing have significantly increased the possibility of fully quantifying the breast carcinoma features, reducing workload of pathologist and providing reproducible and high accuracy results. This paper is meant as an introduction for non-experts. It starts with an overview of the breast carcinoma, breast carcinoma grading systems and followed by a discussion on different image processing techniques applied to measure tubules formation, nucleus pleomorphism and mitotic activity as well as a discussion on complete system for the breast carcinoma measurement. 2019-01-15T02:38:32Z 2019-01-15T02:38:32Z 2018 Article Journal of Engineering Research and Education, vol.10, 2018, pages 57-72 2232-1098 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57951 en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Biomedical Engineering
Image Processing
Breast Carcinoma
Nottingham Grading System
Quantitative Measurement
spellingShingle Biomedical Engineering
Image Processing
Breast Carcinoma
Nottingham Grading System
Quantitative Measurement
Tan, Xiao Jian
Nazahah, Mustafa
Mohd Yusoff, Mashor
Khairul Shakir, Ab Rahman
Image Processing in Breast Carcinoma Histopathological Image: A Review
description Link to publisher's homepage at http://jere.unimap.edu.my
author2 xj_0506@gmail.com
author_facet xj_0506@gmail.com
Tan, Xiao Jian
Nazahah, Mustafa
Mohd Yusoff, Mashor
Khairul Shakir, Ab Rahman
format Article
author Tan, Xiao Jian
Nazahah, Mustafa
Mohd Yusoff, Mashor
Khairul Shakir, Ab Rahman
author_sort Tan, Xiao Jian
title Image Processing in Breast Carcinoma Histopathological Image: A Review
title_short Image Processing in Breast Carcinoma Histopathological Image: A Review
title_full Image Processing in Breast Carcinoma Histopathological Image: A Review
title_fullStr Image Processing in Breast Carcinoma Histopathological Image: A Review
title_full_unstemmed Image Processing in Breast Carcinoma Histopathological Image: A Review
title_sort image processing in breast carcinoma histopathological image: a review
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2019
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57951
_version_ 1643805475607674880
score 13.222552

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