A survey on medical image segmentation

Saleha Masood; Muhammad Sharif; Afifa Masood; Mussarat Yasmin; Mudassar Raza

doi:10.2174/157340561101150423103441

A survey on medical image segmentation

Saleha Masood^*, Muhammad Sharif, Afifa Masood, Mussarat Yasmin, Mudassar Raza

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

137 Scopus citations

Abstract

Much work has been done in the field of Image segmentation but still there is a room for improvement. Medical image segmentation is a sub field of image segmentation in digital image processing that has many important applications in the prospect of medical image analysis and diagnostics. Here in this paper different approaches of medical image segmentation will be classified along with their sub fields and sub methods. Recent techniques proposed in each category will also be discussed followed by a comparison of these methods.

Original language	English
Pages (from-to)	3-14
Number of pages	12
Journal	Current Medical Imaging
Volume	11
Issue number	1
DOIs	https://doi.org/10.2174/157340561101150423103441
State	Published - 1 Mar 2015
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2015 Bentham Science Publishers.

Keywords

Atlas guided methods
Bayesian method
Classifiers
Clustering
Deformable models
Markov random field
Medical image segmentation
Modalities
Neural networks
Region growing
Thresholding

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.2174/157340561101150423103441

Cite this

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title = "A survey on medical image segmentation",

abstract = "Much work has been done in the field of Image segmentation but still there is a room for improvement. Medical image segmentation is a sub field of image segmentation in digital image processing that has many important applications in the prospect of medical image analysis and diagnostics. Here in this paper different approaches of medical image segmentation will be classified along with their sub fields and sub methods. Recent techniques proposed in each category will also be discussed followed by a comparison of these methods.",

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AU - Sharif, Muhammad

AU - Masood, Afifa

AU - Yasmin, Mussarat

AU - Raza, Mudassar

PY - 2015/3/1

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AB - Much work has been done in the field of Image segmentation but still there is a room for improvement. Medical image segmentation is a sub field of image segmentation in digital image processing that has many important applications in the prospect of medical image analysis and diagnostics. Here in this paper different approaches of medical image segmentation will be classified along with their sub fields and sub methods. Recent techniques proposed in each category will also be discussed followed by a comparison of these methods.

KW - Atlas guided methods

KW - Bayesian method

KW - Classifiers

KW - Clustering

KW - Deformable models

KW - Markov random field

KW - Medical image segmentation

KW - Modalities

KW - Neural networks

KW - Region growing

KW - Thresholding

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IS - 1

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A survey on medical image segmentation

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this