Neural-network-based automatic segmentation of cerebral ultrasound images for improving image-guided neurosurgery-Reference-Cited by-同舟云学术

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Neural-network-based automatic segmentation of cerebral ultrasound images for improving image-guided neurosurgery

Published:2019-03-08 Issue: Volume: Page:
ISSN:
Container-title:Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling
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Author:

Nitsch Jennifer,Klein Jan,Moltz Jan Hendrik,Miller Dorothea,Sure Ulrich,Kikinis Ron,Meine Hans

Publisher

SPIE

Reference8 articles.

1. Preoperative magnetic resonance and intraoperative ultrasound fusion imaging for realtime neuronavigation in brain tumor surgery;Prada;Ultraschall in der Medizin,2015

2. Resection of pediatric brain tumors: Intraoperative ultrasound revisited

3. Ultrasound imaging in neurosurgery: approaches to minimize surgically induced image artefacts for improved resection control

4. Intraoperative Imaging

Cited by 4 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. Multiclass segmentation of brain intraoperative ultrasound images with limited data;Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and Modeling;2021-02-15

2. Artificial intelligence for brain diseases: A systematic review;APL Bioengineering;2020-12-01

3. Automatic segmentation of brain tumor resections in intraoperative ultrasound images using U-Net;Journal of Medical Imaging;2020-02-18

4. Segmentation-based registration of ultrasound volumes for glioma resection in image-guided neurosurgery;International Journal of Computer Assisted Radiology and Surgery;2019-08-07

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