On the Automated Unruptured Intracranial Aneurysm Segmentation From TOF-MRA Using Deep Learning Techniques-Reference-Cited by-同舟云学术

On the Automated Unruptured Intracranial Aneurysm Segmentation From TOF-MRA Using Deep Learning Techniques

Published:2024 Issue: Volume:12 Page:53112-53125
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Anima V. A.¹^ORCID,Nair Madhu S.¹^ORCID

Affiliation:

1. Department of Computer Science, Artificial Intelligence and Computer Vision Laboratory, Cochin University of Science and Technology, Kochi, Kerala, India

Funder

Kerala State Higher Education Council (KSHEC) under the Kairali Research Award 2020 Project

Kairali Research Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10496573.pdf?arnumber=10496573

Reference42 articles.

1. An overview of intracranial aneurysms

2. Intracranial Aneurysms: CT Angiography and MR Angiography for Detection—Prospective Blinded Comparison in a Large Patient Cohort

3. Prevalence of unruptured intracranial aneurysms, with emphasis on sex, age, comorbidity, country, and time period: a systematic review and meta-analysis

4. Unruptured intracranial aneurysms: epidemiology, natural history, management options, and familial screening

5. Diagnostic Accuracy of Magnetic Resonance Angiography for Cerebral Aneurysms in Correlation With 3D–Digital Subtraction Angiographic Images

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1. Morphology and Texture-Guided Deep Neural Network for Intracranial Aneurysm Segmentation in 3D TOF-MRA;Neuroinformatics;2024-09-11