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

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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Bibliographic Details
Main Authors: Kiran Jabeen, Muhammad Attique Khan, Mohamed Abdel Hameed, Omar Alqahtani, M. Turki-Hadj Alouane, Anum Masood
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Oncology
Subjects:
breast cancer
healthcare
bottleneck residual blocks
deep learning
fusion
optimization
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1347856/full

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