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A novel fusion framework of deep bottleneck residual convolutional neural network for breast cancer classification from mammogram images

With over 2.1 million new cases of breast cancer diagnosed annually, the incidence and mortality rate of this disease pose severe global health issues for women. Identifying the disease’s influence is the only practical way to lessen it immediately. Numerous research works have developed automated m...

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主要な著者: Kiran Jabeen, Muhammad Attique Khan, Mohamed Abdel Hameed, Omar Alqahtani, M. Turki-Hadj Alouane, Anum Masood
フォーマット: Artigo
言語:Inglês
出版事項: Frontiers Media S.A. 2024-02-01
シリーズ:Frontiers in Oncology
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オンライン・アクセス:https://www.frontiersin.org/articles/10.3389/fonc.2024.1347856/full
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