Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods

N. Kharel; A. Alsadoon; P.W.C. Prasad; A. Elchouemi

doi:10.1109/IACS.2017.7921957

Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods

N. Kharel, A. Alsadoon, P.W.C. Prasad, A. Elchouemi

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

41 Citations (Scopus)

Abstract

The main aim of this paper is to enhance using hybrid solution for early diagnosis of breast cancer using mammogram images. For the CAD system for any image processing system follows mainly four steps that is image pre processing, segmentation, features extraction and classification and evaluation. For this research purpose follows the same structure using best possible methods in each stage found in literature review and proposed solution. From the experiment hybrid image enhancement method using CLAHE and Morphology method helps to enhance image for further computation in CAD system to early diagnosis of breast cancer using mammogram images while maintaining processing time as previous best solution. From the study depict that the purposed solution can help to enhance mammogram images for the further processing for segmentation, feature extraction and classification. However, further testing and implementation of proper classification method needed for before clinical use.

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Information and Communication Systems (ICICS), 4-6 April, 2017, Irbid, Jordan
Publisher	IEEE
Pages	120-124
Number of pages	5
ISBN (Print)	9781509042432
DOIs	https://doi.org/10.1109/IACS.2017.7921957
Publication status	Published - 2017
Event	International Conference on Information and Communication Systems - Duration: 4 Apr 2017 → …

Conference

Conference	International Conference on Information and Communication Systems
Period	4/04/17 → …

UN SDGs

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10.1109/IACS.2017.7921957

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Kharel, N., Alsadoon, A., Prasad, P. W. C., & Elchouemi, A. (2017). Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods. In Proceedings of the 8th International Conference on Information and Communication Systems (ICICS), 4-6 April, 2017, Irbid, Jordan (pp. 120-124). IEEE. https://doi.org/10.1109/IACS.2017.7921957

@inproceedings{532af1b1809b45e0b18582209e6e8103,

title = "Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods",

abstract = "The main aim of this paper is to enhance using hybrid solution for early diagnosis of breast cancer using mammogram images. For the CAD system for any image processing system follows mainly four steps that is image pre processing, segmentation, features extraction and classification and evaluation. For this research purpose follows the same structure using best possible methods in each stage found in literature review and proposed solution. From the experiment hybrid image enhancement method using CLAHE and Morphology method helps to enhance image for further computation in CAD system to early diagnosis of breast cancer using mammogram images while maintaining processing time as previous best solution. From the study depict that the purposed solution can help to enhance mammogram images for the further processing for segmentation, feature extraction and classification. However, further testing and implementation of proper classification method needed for before clinical use.",

author = "N. Kharel and A. Alsadoon and P.W.C. Prasad and A. Elchouemi",

year = "2017",

doi = "10.1109/IACS.2017.7921957",

language = "English",

isbn = "9781509042432",

pages = "120--124",

booktitle = "Proceedings of the 8th International Conference on Information and Communication Systems (ICICS), 4-6 April, 2017, Irbid, Jordan",

publisher = "IEEE",

note = "International Conference on Information and Communication Systems ; Conference date: 04-04-2017",

}

Kharel, N, Alsadoon, A, Prasad, PWC & Elchouemi, A 2017, Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods. in Proceedings of the 8th International Conference on Information and Communication Systems (ICICS), 4-6 April, 2017, Irbid, Jordan. IEEE, pp. 120-124, International Conference on Information and Communication Systems, 4/04/17. https://doi.org/10.1109/IACS.2017.7921957

Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods. / Kharel, N.; Alsadoon, A.; Prasad, P.W.C. et al.
Proceedings of the 8th International Conference on Information and Communication Systems (ICICS), 4-6 April, 2017, Irbid, Jordan. IEEE, 2017. p. 120-124.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods

AU - Kharel, N.

AU - Alsadoon, A.

AU - Prasad, P.W.C.

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PY - 2017

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N2 - The main aim of this paper is to enhance using hybrid solution for early diagnosis of breast cancer using mammogram images. For the CAD system for any image processing system follows mainly four steps that is image pre processing, segmentation, features extraction and classification and evaluation. For this research purpose follows the same structure using best possible methods in each stage found in literature review and proposed solution. From the experiment hybrid image enhancement method using CLAHE and Morphology method helps to enhance image for further computation in CAD system to early diagnosis of breast cancer using mammogram images while maintaining processing time as previous best solution. From the study depict that the purposed solution can help to enhance mammogram images for the further processing for segmentation, feature extraction and classification. However, further testing and implementation of proper classification method needed for before clinical use.

AB - The main aim of this paper is to enhance using hybrid solution for early diagnosis of breast cancer using mammogram images. For the CAD system for any image processing system follows mainly four steps that is image pre processing, segmentation, features extraction and classification and evaluation. For this research purpose follows the same structure using best possible methods in each stage found in literature review and proposed solution. From the experiment hybrid image enhancement method using CLAHE and Morphology method helps to enhance image for further computation in CAD system to early diagnosis of breast cancer using mammogram images while maintaining processing time as previous best solution. From the study depict that the purposed solution can help to enhance mammogram images for the further processing for segmentation, feature extraction and classification. However, further testing and implementation of proper classification method needed for before clinical use.

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DO - 10.1109/IACS.2017.7921957

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BT - Proceedings of the 8th International Conference on Information and Communication Systems (ICICS), 4-6 April, 2017, Irbid, Jordan

PB - IEEE

T2 - International Conference on Information and Communication Systems

Y2 - 4 April 2017

ER -

Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods

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