Multi-task deep learning for segmentation and landmark detection in obstetric sonography-Reference-Cited by-同舟云学术

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Multi-task deep learning for segmentation and landmark detection in obstetric sonography

Published:2022-04-04 Issue: Volume: Page:
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Container-title:Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling
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Author:

Allan Michael B.,Jafari Mohammad H.,Woudenberg Nathan V.,Frenkel Oron,Murphy Darra,Wee Tracee,D'Ortenzio Rob,Wu Yong,Roberts James,Shatani Naoya,Gu Ang Nan,Sojoudi Samira,Abolmaesumi Purang

Publisher

SPIE

Reference7 articles.

1. Designing lightweight deep learning models for echocardiography view classification;Vaseli;Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling,2019

2. Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training

3. Obstetrics and gynaecology ultrasound image analysis towards cryptic pregnancy using deep learning-a review;Bushra,2021

4. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015

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1. Automatic measurement of kidney dimensions in two-dimensional ultrasonography is comparable to expert sonographers;Journal of Medical Imaging;2023-06-08

2. Tongue Contour Tracking and Segmentation in Lingual Ultrasound for Speech Recognition: A Review;Diagnostics;2022-11-15

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