Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes

Automated deep bottleneck residual 82-layered architecture with Bayesian optimization for the classification of brain and common maternal fetal ultrasound planes

Despite a worldwide decline in maternal mortality over the past two decades, a significant gap persists between low- and high-income countries, with 94% of maternal mortality concentrated in low and middle-income nations. Ultrasound serves as a prevalent diagnostic tool in prenatal care for monitori...

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Bibliographic Details
Main Authors: Fatima Rauf, Muhammad Attique Khan, Ali Kashif Bashir, Kiran Jabeen, Ameer Hamza, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Anum Masood
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Medicine
Subjects:
maternal fetal
biomedical imaging
deep learning
residual architecture
bottleneck layers
optimization
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1330218/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1330218/full

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