An optimized modified faster region convolutional neural network for spina bifida identification from ultrasound images-Reference-Cited by-同舟云学术

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An optimized modified faster region convolutional neural network for spina bifida identification from ultrasound images

Published:2023-09 Issue: Volume:86 Page:105253
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Asha R.,Subashka Ramesh S.S.

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference31 articles.

1. An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI;Ebner;Neuroimage,2020

2. An ultrasound standard plane detection model of fetal head based on multi-task learning and hybrid knowledge graph;Zhao;Futur. Gener. Comput. Syst.,2022

3. Mapping fetal brain development based on automated segmentation and 4D brain atlasing;Li;Brain Struct. Funct.,2021

4. N. Mufti, M. Aertsen, M. Ebner, L. Fidon, P. Patel, M.B.A. Rahman, Y. Brackenier, G. Ekart, V. Fernandez, T. Vercauteren, S. Ourselin, Cortical spectral matching and shape and volume analysis of the fetal brain pre-and post-fetal surgery for spina bifida: a retrospective study, Neuroradiology 63(10) (2021)1721-1734.

5. HealthSOS: real-time health monitoring system for stroke prognostics;Hussain;IEEE Access,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A DCNN with Jellyfish Questoptimization Algorithm in Order to Find Fetus Images;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

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