An artificial intelligence approach for segmenting and classifying brain lesions caused by stroke-Reference-Cited by-同舟云学术

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An artificial intelligence approach for segmenting and classifying brain lesions caused by stroke

Published:2023-10-04 Issue: Volume: Page:1-12
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:

Mena Roberto¹,Pelaez Enrique¹^ORCID,Loayza Francis²^ORCID,Macas Alex¹,Franco-Maldonado Heydy³

Affiliation:

1. Electrical & Computer Engineering - FIEC, Escuela Superior Politécnica del Litoral - ESPOL University, Guayaquil, Ecuador

2. Mechanical and Production Science Engineering - FIMCP, Escuela Superior Politécnica del Litoral - ESPOL University, Guayaquil, Ecuador

3. Sociedad de Lucha Contra el Cáncer - SOLCA, Guayaquil, Ecuador

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2264410

Reference41 articles.

1. Stroke Risk Factors, Genetics, and Prevention

2. Comparison of Outcomes of Ischemic Stroke Initially Imaged With Cranial Computed Tomography Alone vs Computed Tomography Plus Magnetic Resonance Imaging

3. Situación actual del manejo de las lesiones cerebrales adquiridas en adultos y su rehabilitación;Carrillo-Mora P;Investigación en Discapacidad,2014

4. Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study

5. Brain arteriovenous malformations in adults

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