Automatic segmentation of brain tumor resections in intraoperative ultrasound images using U-Net-Reference-Cited by-同舟云学术

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Automatic segmentation of brain tumor resections in intraoperative ultrasound images using U-Net

Published:2020-02-18 Issue:03 Volume:7 Page:1
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Carton François-Xavier¹,Chabanas Matthieu¹,Le Lann Florian²,Noble Jack H.³

Affiliation:

1. University of Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, Grenoble

2. Grenoble Alpes University Hospital, Department of Neurosurgery, Grenoble

3. Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, Tenness

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

Reference44 articles.

1. Brain shift in neuronavigation of brain tumors: A review

2. Intraoperative Imaging Modalities and Compensation for Brain Shift in Tumor Resection Surgery

3. 3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation

4. Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation

5. Automatic Intraoperative Correction of Brain Shift for Accurate Neuronavigation

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1. BrainPixGAN: Generating intraoperative MRI images with mask-based generative networks;Engineering Science and Technology, an International Journal;2024-10

2. Open access segmentations of intraoperative brain tumor ultrasound images;Medical Physics;2024-07-24

3. WU-Net++: A novel enhanced Weighted U-Net++ model for brain tumor detection and segmentation from multi-parametric magnetic resonance scans;Multimedia Tools and Applications;2024-02-08

4. Surgical Data Science: Emerging Trends and Future Pathways;Topics in Intelligent Engineering and Informatics;2024

5. Optimizing diffuse optical imaging for breast tissues with a dual-encoder neural network to preserve small structural information and fine features;Journal of Medical Imaging;2023-12-05

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