A Review of Classifications Techniques and computer aided used for Breast Cancer Detection
One of the most prevalent and deadly diseases in women is breast cancer due to the increasing incidence, many researchers have become interested in it in recent years. Due to the difficulty of distinguishing with high accuracy the infected and nonaffected breast tissue, computer-assisted diagnosti...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
College of Education for Pure Sciences
2022-09-01
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| Series: | Wasit Journal for Pure Sciences |
| Subjects: | |
| Online Access: | https://wjps.uowasit.edu.iq/index.php/wjps/article/view/57 |
| _version_ | 1797288372508557312 |
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| author | Mohammed Taha Saif Alsaidi |
| author_facet | Mohammed Taha Saif Alsaidi |
| author_sort | Mohammed Taha |
| collection | DOAJ |
| description |
One of the most prevalent and deadly diseases in women is breast cancer due to the increasing incidence, many researchers
have become interested in it in recent years. Due to the difficulty of distinguishing with high accuracy the infected and nonaffected breast tissue, computer-assisted diagnostic techniques were introduced, as the correct diagnosis requires the use of
methods for extracting the distinctive characteristics of breast tissue. Pre-processing, features extraction, and classification are
the three primary processes that make up the machine learning method for detecting breast cancer. Because it has a significant
impact on the accuracy of the extracted system, as the methods used to extract the distinctive characteristics of breast tissue
and thus affect the patient's life, so several methods were used. This research paper aims to study, analyze and compare the
methods used to determine the characteristics of breast tissue for the purpose of accurate diagnosis of breast cancer.
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| first_indexed | 2024-03-07T18:48:23Z |
| format | Article |
| id | doaj.art-6efba42526404ee8bc946a014d1f1492 |
| institution | Directory Open Access Journal |
| issn | 2790-5233 2790-5241 |
| language | English |
| last_indexed | 2024-03-07T18:48:23Z |
| publishDate | 2022-09-01 |
| publisher | College of Education for Pure Sciences |
| record_format | Article |
| series | Wasit Journal for Pure Sciences |
| spelling | doaj.art-6efba42526404ee8bc946a014d1f14922024-03-02T02:03:29ZengCollege of Education for Pure SciencesWasit Journal for Pure Sciences2790-52332790-52412022-09-011210.31185/wjps.57A Review of Classifications Techniques and computer aided used for Breast Cancer DetectionMohammed Taha0Saif Alsaidi1Ministry of Education/Babylon Education Directorates, IraqCollege of Education for Pure Sciences, Wasit University, Iraq One of the most prevalent and deadly diseases in women is breast cancer due to the increasing incidence, many researchers have become interested in it in recent years. Due to the difficulty of distinguishing with high accuracy the infected and nonaffected breast tissue, computer-assisted diagnostic techniques were introduced, as the correct diagnosis requires the use of methods for extracting the distinctive characteristics of breast tissue. Pre-processing, features extraction, and classification are the three primary processes that make up the machine learning method for detecting breast cancer. Because it has a significant impact on the accuracy of the extracted system, as the methods used to extract the distinctive characteristics of breast tissue and thus affect the patient's life, so several methods were used. This research paper aims to study, analyze and compare the methods used to determine the characteristics of breast tissue for the purpose of accurate diagnosis of breast cancer. https://wjps.uowasit.edu.iq/index.php/wjps/article/view/57Breast cancer, CNN, Computer-aided diagnosis (CAD), Feature Extraction, Medical image analysis |
| spellingShingle | Mohammed Taha Saif Alsaidi A Review of Classifications Techniques and computer aided used for Breast Cancer Detection Wasit Journal for Pure Sciences Breast cancer, CNN, Computer-aided diagnosis (CAD), Feature Extraction, Medical image analysis |
| title | A Review of Classifications Techniques and computer aided used for Breast Cancer Detection |
| title_full | A Review of Classifications Techniques and computer aided used for Breast Cancer Detection |
| title_fullStr | A Review of Classifications Techniques and computer aided used for Breast Cancer Detection |
| title_full_unstemmed | A Review of Classifications Techniques and computer aided used for Breast Cancer Detection |
| title_short | A Review of Classifications Techniques and computer aided used for Breast Cancer Detection |
| title_sort | review of classifications techniques and computer aided used for breast cancer detection |
| topic | Breast cancer, CNN, Computer-aided diagnosis (CAD), Feature Extraction, Medical image analysis |
| url | https://wjps.uowasit.edu.iq/index.php/wjps/article/view/57 |
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