Deep learning for the recognition of benign and malignant breast lesions in medical images
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Full Text |
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Author |
Alio Boubacar Goga, Chaibou Kadri and Harouna Naroua
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e-ISSN |
1819-6608 |
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On Pages
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2151-2157
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Volume No. |
18
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Issue No. |
18
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Issue Date |
November 30, 2023
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DOI |
https://doi.org/10.59018/0923264
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Keywords |
intelligent system, deep learning, big data, medical imaging, breast cancer.
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Abstract
The exploitation of medical imaging (“Big Data”) is currently a task that healthcare professionals find very difficult
to manage. However, the creation of Intelligent Systems (IS) is nowadays an effective mean for the detection and the
recognition of most frequent diseases, in particular breast cancer. In this study, we propose a new deep learning (DL)
architecture for the recognition of malignant and benign tumors on breast biopsy images. The experimental results show that
the proposed method (IDenseNet-BCBC for Improvement of DenseNet for Binary Classification of Breast Cancer) achieved
an accuracy of 99.17% and 100% on magnified level 40x, and 100x, respectively.
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