Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation-Reference-Cited by-同舟云学术

Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation

Published:2020-07 Issue: Volume:63 Page:101722
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

He Yuting,Yang Guanyu,Yang Jian,Chen Yang,Kong Youyong,Wu Jiasong,Tang Lijun,Zhu Xiaomei,Dillenseger Jean-Louis,Shao Pengfei,Zhang Shaobo,Shu Huazhong,Coatrieux Jean-Louis,Li Shuo^ORCID

Funder

National Natural Science Foundation

Key Research and Development Project of Jiangsu 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

Reference64 articles.

1. Global assessment of cardiac function using image statistics in mri;Afshin,2012

2. Semi-supervised learning for network-based cardiac mr image segmentation;Bai,2017

3. Recurrent neural networks for aortic image sequence segmentation with sparse annotations;Bai,2018

4. Semi-supervised deep learning for fully convolutional networks;Baur,2017

5. Geometrical and structural analysis of vessel systems in 3d medical image datasets;Boskamp,2005

Cited by 45 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. Semi-supervised information fusion for medical image analysis: Recent progress and future perspectives;Information Fusion;2024-06

2. Deep learning system for malignancy risk prediction in cystic renal lesions: a multicenter study;Insights into Imaging;2024-05-20

3. Ori-Net: Orientation-guided Neural Network for Automated Coronary Arteries Segmentation;Expert Systems with Applications;2024-03

4. Imaging-based deep learning in kidney diseases: recent progress and future prospects;Insights into Imaging;2024-02-16

5. Segment anything model for medical images?;Medical Image Analysis;2024-02