Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques-Reference-Cited by-同舟云学术

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Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques

Published:2024-06-26 Issue: Volume:27 Page:467-472
ISSN:
Container-title:2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS)
language:
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Author:

Herrera Daniela¹,Lopez-Tiro Francisco¹,Munuera Josep²,Mata Christian²,González-Mendoza Miguel¹,Ochoa-Ruiz Gilberto¹

Affiliation:

1. Tecnologico de Monterrey,School of Engineering and Sciences,Mexico

2. Hospital Sant Joan de Déu,Pediatric Computational Imaging Research Group,Spain

Funder

Instituto de Salud Carlos III

Ministry of Economy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10600689/10600715/10600969.pdf?arnumber=10600969

Reference17 articles.

1. Management of Stroke in Neonates and Children: A Scientific Statement From the American Heart Association/American Stroke Association

2. Noncontrast Magnetic Resonance Angiography for the Diagnosis of Peripheral Vascular Disease

3. Intracranial time-resolved contrast-enhanced mr angiography at 3t;Cashen;AJNR. American journal of neuroradiology,2006

4. Evaluation of MRI Denoising Methods Using Unsupervised Learning

5. A Non-Local Algorithm for Image Denoising

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