Multi-task learning for quality assessment of fetal head ultrasound images-Reference-Cited by-同舟云学术

Multi-task learning for quality assessment of fetal head ultrasound images

Published:2019-12 Issue: Volume:58 Page:101548
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Lin Zehui,Li Shengli,Ni Dong^ORCID,Liao Yimei,Wen Huaxuan,Du Jie,Chen Siping,Wang Tianfu,Lei Baiying

Funder

Shenzhen Fundamental Research Program

Guangdong Provincial Pearl River Talents Program

Shenzhen Peacock Plan

National Natural Science Foundation of China

Guangdong Medical Research Foundation

Natural Science Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference53 articles.

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3. Soft-NMS—improving object detection with one line of code;Bodla,2017

4. Does routine ultrasound scanning improve outcome in pregnancy? Meta-analysis of various outcome measures;Bucher;Br. Med. J.,1993

5. Detection and measurement of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree;Carneiro;IEEE Trans. Med. Imaging,2008

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