Lungs Cancer Detection Using Digital Image Processing Techniques: A Review

From last decade, lung cancer become sign of fear among the people all over the world. As a result, many countries generate funds and give invitation to many scholars to overcome on this disease. Many researchers proposed many solutions and challenges of different phases of computer aided system to...

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Main Authors: Muti ullah, Mehwish Bari, Adeel Ahmed, Sajid Naveed
Format: Article
Language:English
Published: Mehran University of Engineering and Technology 2019-04-01
Series:Mehran University Research Journal of Engineering and Technology
Online Access:http://publications.muet.edu.pk/index.php/muetrj/article/view/956
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spelling doaj-bf63b831567e456391d01d976ee3da362020-11-25T00:58:14ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192019-04-01382351360956Lungs Cancer Detection Using Digital Image Processing Techniques: A ReviewMuti ullah0Mehwish Bari1Adeel Ahmed2Sajid Naveed3Department of Computer Science, National College of Business Administration and Economics, Bahawalpur , PakistanDepartment of Mathematics, National College of Business Administration and Economics, Bahawalpur , PakistanDepartment of Computer Science, Quaid-e-Azam University, Islamabad, Pakistan.Department of Computer Science, National College of Business Administration and Economics , Bahawalpur , PakistanFrom last decade, lung cancer become sign of fear among the people all over the world. As a result, many countries generate funds and give invitation to many scholars to overcome on this disease. Many researchers proposed many solutions and challenges of different phases of computer aided system to detect the lung cancer in early stages and give the facts about the lung cancer. CV (Computer Vision) play vital role to prevent lung cancer. Since image processing is necessary for computer vision, further in medical image processing there are many technical steps which are necessary to improve the performance of medical diagnostic machines. Without such steps programmer is unable to achieve accuracy given by another author using specific algorithm or technique. In this paper we highlight such steps which are used by many author in pre-processing, segmentation and classification methods of lung cancer area detection. If pre-processing and segmentation process have some ambiguity than ultimately it effects on classification process. We discuss such factors briefly so that new researchers can easily understand the situation to work further in which direction.http://publications.muet.edu.pk/index.php/muetrj/article/view/956
collection DOAJ
language English
format Article
sources DOAJ
author Muti ullah
Mehwish Bari
Adeel Ahmed
Sajid Naveed
spellingShingle Muti ullah
Mehwish Bari
Adeel Ahmed
Sajid Naveed
Lungs Cancer Detection Using Digital Image Processing Techniques: A Review
Mehran University Research Journal of Engineering and Technology
author_facet Muti ullah
Mehwish Bari
Adeel Ahmed
Sajid Naveed
author_sort Muti ullah
title Lungs Cancer Detection Using Digital Image Processing Techniques: A Review
title_short Lungs Cancer Detection Using Digital Image Processing Techniques: A Review
title_full Lungs Cancer Detection Using Digital Image Processing Techniques: A Review
title_fullStr Lungs Cancer Detection Using Digital Image Processing Techniques: A Review
title_full_unstemmed Lungs Cancer Detection Using Digital Image Processing Techniques: A Review
title_sort lungs cancer detection using digital image processing techniques: a review
publisher Mehran University of Engineering and Technology
series Mehran University Research Journal of Engineering and Technology
issn 0254-7821
2413-7219
publishDate 2019-04-01
description From last decade, lung cancer become sign of fear among the people all over the world. As a result, many countries generate funds and give invitation to many scholars to overcome on this disease. Many researchers proposed many solutions and challenges of different phases of computer aided system to detect the lung cancer in early stages and give the facts about the lung cancer. CV (Computer Vision) play vital role to prevent lung cancer. Since image processing is necessary for computer vision, further in medical image processing there are many technical steps which are necessary to improve the performance of medical diagnostic machines. Without such steps programmer is unable to achieve accuracy given by another author using specific algorithm or technique. In this paper we highlight such steps which are used by many author in pre-processing, segmentation and classification methods of lung cancer area detection. If pre-processing and segmentation process have some ambiguity than ultimately it effects on classification process. We discuss such factors briefly so that new researchers can easily understand the situation to work further in which direction.
url http://publications.muet.edu.pk/index.php/muetrj/article/view/956
work_keys_str_mv AT mutiullah lungscancerdetectionusingdigitalimageprocessingtechniquesareview
AT mehwishbari lungscancerdetectionusingdigitalimageprocessingtechniquesareview
AT adeelahmed lungscancerdetectionusingdigitalimageprocessingtechniquesareview
AT sajidnaveed lungscancerdetectionusingdigitalimageprocessingtechniquesareview
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