Meningioma and peritumoral edema segmentation of preoperative MRI brain scans-Reference-Cited by-同舟云学术

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Meningioma and peritumoral edema segmentation of preoperative MRI brain scans

Published:2016-11-08 Issue:4 Volume:6 Page:362-370
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Binaghi Elisabetta¹,Pedoia Valentina²,Balbi Sergio³

Affiliation:

1. Dipartimento di Scienze Teoriche e Applicate, Università degli Studi dell’Insubria, Varese, Italy

2. Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA

3. Dipartimento di Biotecnologie e Scienze della Vita, Università degli Studi dell’Insubria, Varese, Italy

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2016.1250108

Reference30 articles.

1. Review of brain MRI image segmentation methods

2. Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization

3. A survey of MRI-based medical image analysis for brain tumor studies

4. Review of MR image segmentation techniques using pattern recognition

5. Editorial message from the Editor-in-Chief

Cited by 7 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. Texture analysis: A potential tool to differentiate primary brain tumors and solitary brain metastasis;Multimedia Tools and Applications;2023-10-03

2. A dual-branch hybrid dilated CNN model for the AI-assisted segmentation of meningiomas in MR images;Computers in Biology and Medicine;2022-12

3. Automatic brain lesion segmentation on standard magnetic resonance images: a scoping review;BMJ Open;2021-01

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

5. Investigating the Behaviour of Machine Learning Techniques to Segment Brain Metastases in Radiation Therapy Planning;Applied Sciences;2019-08-14

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