BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROI
Computer systems are being employed in specialized professions such as medical diagnosis to alleviate some of the costs and to improve dependability and scalability. This paper implements a computer aided breast cancer diagnosis system. It utilizes the publicly available mini MIAS mammography image...
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| Format: | Article |
| Language: | English |
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Polish Association for Knowledge Promotion
2022-03-01
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| Series: | Applied Computer Science |
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| Online Access: | https://ph.pollub.pl/index.php/acs/article/view/3341 |
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| _version_ | 1850187063981244416 |
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| author | Muayed S AL-HUSEINY Ahmed S SAJIT |
| author_facet | Muayed S AL-HUSEINY Ahmed S SAJIT |
| author_sort | Muayed S AL-HUSEINY |
| collection | DOAJ |
| description |
Computer systems are being employed in specialized professions such as medical diagnosis to alleviate some of the costs and to improve dependability and scalability. This paper implements a computer aided breast cancer diagnosis system. It utilizes the publicly available mini MIAS mammography image dataset. Images are preprocessed to clean isolate breast tissue region. Extracted regions are used to adjust and verify a pretrained convolutional deep neural network, the GoogLeNet. The implemented model shows good performance results compared to other published works with accuracy of 86.6%, sensitivity of 75% and specificity of 88.9%.
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| format | Article |
| id | doaj-art-ff80ac8b698f486994c089099dbf6b62 |
| institution | OA Journals |
| issn | 2353-6977 |
| language | English |
| publishDate | 2022-03-01 |
| publisher | Polish Association for Knowledge Promotion |
| record_format | Article |
| series | Applied Computer Science |
| spelling | doaj-art-ff80ac8b698f486994c089099dbf6b622025-08-20T02:16:11ZengPolish Association for Knowledge PromotionApplied Computer Science2353-69772022-03-0118110.35784/acs-2022-08BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROIMuayed S AL-HUSEINY0Ahmed S SAJIT1Wasit University, Department of Electrical EngineeringWasit University, College of Engineering Computer systems are being employed in specialized professions such as medical diagnosis to alleviate some of the costs and to improve dependability and scalability. This paper implements a computer aided breast cancer diagnosis system. It utilizes the publicly available mini MIAS mammography image dataset. Images are preprocessed to clean isolate breast tissue region. Extracted regions are used to adjust and verify a pretrained convolutional deep neural network, the GoogLeNet. The implemented model shows good performance results compared to other published works with accuracy of 86.6%, sensitivity of 75% and specificity of 88.9%. https://ph.pollub.pl/index.php/acs/article/view/3341mammographytransfer learningcomputer visionimage processing |
| spellingShingle | Muayed S AL-HUSEINY Ahmed S SAJIT BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROI Applied Computer Science mammography transfer learning computer vision image processing |
| title | BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROI |
| title_full | BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROI |
| title_fullStr | BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROI |
| title_full_unstemmed | BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROI |
| title_short | BREAST CANCER CAD SYSTEM BY USING TRANSFER LEARNING AND ENHANCED ROI |
| title_sort | breast cancer cad system by using transfer learning and enhanced roi |
| topic | mammography transfer learning computer vision image processing |
| url | https://ph.pollub.pl/index.php/acs/article/view/3341 |
| work_keys_str_mv | AT muayedsalhuseiny breastcancercadsystembyusingtransferlearningandenhancedroi AT ahmedssajit breastcancercadsystembyusingtransferlearningandenhancedroi |