Multi-classification Deep Learning Approach for Diagnosing Stroke Type and Severity Using Multimodal Magnetic Resonance Images
Our study's proposed method effectively classified stroke type and severity based on multimodal MR images, potentially as a practical decision support tool for stroke treatments.
Authors
- Ahmad Rajabi (ORCID: https://orcid.org/0000-0002-9332-8114)
- Payam Sariaslani (ORCID: https://orcid.org/0000-0003-1924-4649)
- Hiwa Mohammadi (ORCID: https://orcid.org/0000-0002-2364-9430)
- Sepideh Shamsizadeh
- Sahar Felehgari
- Saba Felehgari
Institutions
- University of Padua (IT)
- Kermanshah University of Medical Sciences (IR)
- Imam Reza Hospital (IR)
Publication Details
- Journal
- Journal of Medical Signals & Sensors
- Published
- 2025-04-01
- DOI
- https://doi.org/10.4103/jmss.jmss_37_24
- Citations
- 1
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 1.35