A Proposed Convolutional Neural Network for Breast Cancer Diagnoses
Breast cancer is the second greatest cause of death in women worldwide, however, early detection may result in life prolongation or even complete recovery. Breast cancer can be classified by physicians into two types: benign tumors, and malignant tumors, all of which are fatal if not treated early....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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VSB-Technical University of Ostrava
2023-01-01
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| Series: | Advances in Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://advances.utc.sk/index.php/AEEE/article/view/4658 |
| _version_ | 1797826921864626176 |
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| author | Noor Kareem Kadhim Belal Al-Khateeb Huda Wadah Ahmed |
| author_facet | Noor Kareem Kadhim Belal Al-Khateeb Huda Wadah Ahmed |
| author_sort | Noor Kareem Kadhim |
| collection | DOAJ |
| description | Breast cancer is the second greatest cause of death in women worldwide, however, early detection may result in life prolongation or even complete recovery. Breast cancer can be classified by physicians into two types: benign tumors, and malignant tumors, all of which are fatal if not treated early. Several machine-learning algorithms have been developed to help physicians make diagnostic choices, concretely a convolutional neural network is presented in this paper. The proposed system is divided into several fundamental steps. The proposed classifier is trained to distinguish between incoming tumors using a dataset of 780 images. To evaluate the classifier's performance accuracy, precision, recall, and F1-score are used. In the testing stage, the proposed method achieved an overall classification accuracy of 93%, 93% precision, 93% recall, and 93% F1-score. |
| first_indexed | 2024-04-09T12:40:04Z |
| format | Article |
| id | doaj.art-aac93a5d885c43bbb83c2882f19a40e8 |
| institution | Directory Open Access Journal |
| issn | 1336-1376 1804-3119 |
| language | English |
| last_indexed | 2024-04-09T12:40:04Z |
| publishDate | 2023-01-01 |
| publisher | VSB-Technical University of Ostrava |
| record_format | Article |
| series | Advances in Electrical and Electronic Engineering |
| spelling | doaj.art-aac93a5d885c43bbb83c2882f19a40e82023-05-14T20:50:14ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192023-01-0121191810.15598/aeee.v21i1.46581190A Proposed Convolutional Neural Network for Breast Cancer DiagnosesNoor Kareem Kadhim0Belal Al-Khateeb1Huda Wadah Ahmed2Iraqi Commission for Computer and Informatics, Informatics Institute for Postgraduate Studies, UOITC 1st Building, Al-Nidhal Street, 10066 Baghdad, IraqDepartment of Computer Science, College of Computer Science and Information Technology, University of Anbar, CSIT 1st Building, Al-Ceramic Street, 31001 Ramadi, IraqIraqi Commission for Computer and Informatics, Informatics Institute for Postgraduate Studies, UOITC 1st Building, Al-Nidhal Street, 10066 Baghdad, IraqBreast cancer is the second greatest cause of death in women worldwide, however, early detection may result in life prolongation or even complete recovery. Breast cancer can be classified by physicians into two types: benign tumors, and malignant tumors, all of which are fatal if not treated early. Several machine-learning algorithms have been developed to help physicians make diagnostic choices, concretely a convolutional neural network is presented in this paper. The proposed system is divided into several fundamental steps. The proposed classifier is trained to distinguish between incoming tumors using a dataset of 780 images. To evaluate the classifier's performance accuracy, precision, recall, and F1-score are used. In the testing stage, the proposed method achieved an overall classification accuracy of 93%, 93% precision, 93% recall, and 93% F1-score.http://advances.utc.sk/index.php/AEEE/article/view/4658breast cancermachine learningdeep learningconvolutional neural network. |
| spellingShingle | Noor Kareem Kadhim Belal Al-Khateeb Huda Wadah Ahmed A Proposed Convolutional Neural Network for Breast Cancer Diagnoses Advances in Electrical and Electronic Engineering breast cancer machine learning deep learning convolutional neural network. |
| title | A Proposed Convolutional Neural Network for Breast Cancer Diagnoses |
| title_full | A Proposed Convolutional Neural Network for Breast Cancer Diagnoses |
| title_fullStr | A Proposed Convolutional Neural Network for Breast Cancer Diagnoses |
| title_full_unstemmed | A Proposed Convolutional Neural Network for Breast Cancer Diagnoses |
| title_short | A Proposed Convolutional Neural Network for Breast Cancer Diagnoses |
| title_sort | proposed convolutional neural network for breast cancer diagnoses |
| topic | breast cancer machine learning deep learning convolutional neural network. |
| url | http://advances.utc.sk/index.php/AEEE/article/view/4658 |
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