Multi-Level Residual Dual Attention Network for Major Cerebral Arteries Segmentation in MRA Toward Diagnosis of Cerebrovascular Disorders-Reference-Cited by-同舟云学术

Multi-Level Residual Dual Attention Network for Major Cerebral Arteries Segmentation in MRA Toward Diagnosis of Cerebrovascular Disorders

Published:2024-01 Issue:1 Volume:23 Page:167-175
ISSN:1536-1241
Container-title:IEEE Transactions on NanoBioscience
language:
Short-container-title:IEEE Trans.on Nanobioscience

Author:

Pal Subhash Chandra¹^ORCID,Toumpanakis Dimitrios²,Wikström Johan²,Ahuja Chirag Kamal³^ORCID,Strand Robin⁴,Dhara Ashis Kumar¹^ORCID

Affiliation:

1. Department of Electrical Engineering, National Institute of Technology at Durgapur, Durgapur, India

2. Department of Surgical Sciences, Uppsala University, Uppsala, Sweden

3. Department of Radio Diagnosis and Imaging, Postgraduate Institute of Medical Education and Research (PGIMER) at Chandigarh, Chandigarh, India

4. Department of Information Technology, Uppsala University, Uppsala, Sweden

Funder

Department of Biotechnology (DBT), Government of India

Vinnova, The Agency for Innovation Systems, Government of Sweden

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Pharmaceutical Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/7728/10380194/10192444.pdf?arnumber=10192444

Reference31 articles.

1. A novel statistical cerebrovascular segmentation algorithm with particle swarm optimization

2. Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

3. A Review of Size and Location of Ruptured Intracranial Aneurysms

4. Predicting the risk of rupture of intracranial aneurysms based on anatomical location

5. Intracranial Aneurysms