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

Nabin Kharel, Abeer Alsadoon, P. W.C. Prasad, A. Elchouemi

Research output: Book chapter/Published conference paperConference paper

8 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 languageEnglish
Title of host publicationProceedings of the 2017 8th International Conference on Information and Communication Systems (ICICS)
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages120-124
Number of pages5
ISBN (Electronic)9781509042432
DOIs
Publication statusPublished - 11 May 2017
Event8th International Conference on Information and Communication Systems: ICICS 2017 - Jordan University of Science and Technology , Irbid, Jordan
Duration: 04 Apr 201706 Apr 2017
http://www.icics.info/icics2017/ (Conference website)
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7914820 (Conference proceedings)

Conference

Conference8th International Conference on Information and Communication Systems
CountryJordan
CityIrbid
Period04/04/1706/04/17
Other The International Conference on Information and Communication Systems (ICICS 2017) is a forum for scientists, engineers, and practitioners to present their latest research results, ideas, developments, and applications in all areas of Computer and Information Sciences. The topics that will be covered in the ICICS 2017 include, but are not limited to: Artificial Intelligence, Mobile Computing, Networking, Information Security and Cryptography, Intrusion Detection and Computer Forensics, Web Content Mining, Bioinformatics and IT Applications, Database Technology, Systems Integration, Information Systems Analysis and Specification, Communications, and Human-Computer Interaction.
Internet address

Fingerprint

Early Detection of Cancer
Breast Neoplasms
Feature extraction
Computer aided design
Processing
Image Enhancement
Image enhancement
Image processing
Testing
Research
Experiments

Cite this

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 2017 8th International Conference on Information and Communication Systems (ICICS) (pp. 120-124). [7921957] United States: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IACS.2017.7921957
Kharel, Nabin ; Alsadoon, Abeer ; Prasad, P. W.C. ; Elchouemi, A. / Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods. Proceedings of the 2017 8th International Conference on Information and Communication Systems (ICICS). United States : IEEE, Institute of Electrical and Electronics Engineers, 2017. pp. 120-124
@inproceedings{6e98ceebf34d4f778542f7f665439f01,
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.",
keywords = "Brest Cancer, CLAHE, Morphology, Pre-processing",
author = "Nabin Kharel and Abeer Alsadoon and Prasad, {P. W.C.} and A. Elchouemi",
year = "2017",
month = "5",
day = "11",
doi = "10.1109/IACS.2017.7921957",
language = "English",
pages = "120--124",
booktitle = "Proceedings of the 2017 8th International Conference on Information and Communication Systems (ICICS)",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
address = "United States",

}

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 2017 8th International Conference on Information and Communication Systems (ICICS)., 7921957, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 120-124, 8th International Conference on Information and Communication Systems, Irbid, Jordan, 04/04/17. https://doi.org/10.1109/IACS.2017.7921957

Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods. / Kharel, Nabin; Alsadoon, Abeer; Prasad, P. W.C.; Elchouemi, A.

Proceedings of the 2017 8th International Conference on Information and Communication Systems (ICICS). United States : IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 120-124 7921957.

Research output: Book chapter/Published conference paperConference paper

TY - GEN

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

AU - Kharel, Nabin

AU - Alsadoon, Abeer

AU - Prasad, P. W.C.

AU - Elchouemi, A.

PY - 2017/5/11

Y1 - 2017/5/11

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.

KW - Brest Cancer

KW - CLAHE

KW - Morphology

KW - Pre-processing

UR - http://www.scopus.com/inward/record.url?scp=85020170496&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85020170496&partnerID=8YFLogxK

UR - http://www.icics.info/icics2017/

UR - https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7921929

UR - http://www.icics.info/icics2017/new_page/ICICS2017%20Conference%20Program.pdf

U2 - 10.1109/IACS.2017.7921957

DO - 10.1109/IACS.2017.7921957

M3 - Conference paper

AN - SCOPUS:85020170496

SP - 120

EP - 124

BT - Proceedings of the 2017 8th International Conference on Information and Communication Systems (ICICS)

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - United States

ER -

Kharel N, Alsadoon A, Prasad PWC, Elchouemi A. Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods. In Proceedings of the 2017 8th International Conference on Information and Communication Systems (ICICS). United States: IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 120-124. 7921957 https://doi.org/10.1109/IACS.2017.7921957