Carotid Artery and Thyroid Gland Artificial Intelligence Based Automatic Segmentation from Ultrasound Images - Qualitative Evaluation of the Segmentation Results using 3D Ultrasound Reconstructions: A Preliminary Study-Reference-Cited by-同舟云学术

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Carotid Artery and Thyroid Gland Artificial Intelligence Based Automatic Segmentation from Ultrasound Images - Qualitative Evaluation of the Segmentation Results using 3D Ultrasound Reconstructions: A Preliminary Study

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:2022 E-Health and Bioengineering Conference (EHB)
language:
Short-container-title:

Author:

Chifor Radu¹,Arsenescu Tudor²,Marita Tiberiu³,Santoma Andrei³,Badea Alexandru Florin⁴,Duma Daniel⁵,Vacaras Vitalie⁶,Lebovici Andrei⁵

Affiliation:

1. University of Medicine and Pharmacy Iuliu Hatieganu,Department of Preventive Dentistry,Cluj-Napoca,Romania

2. Chifor Research SRL,Cluj-Napoca,Romania

3. Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania

4. “Iuliu Hatieganu” University of Medicine and Pharmacy,Anatomy and Embryology, Faculty of General Medicine,Cluj-Napoca,Romania

5. Cluj County Emergency Clinical Hospital,Radiology and Imaging Department,Cluj-Napoca,Romania

6. Iuliu Hatieganu University of Medicine and Pharmacy,Department of Neurosciences,Cluj-Napoca,Romania

Funder

European Social Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9991246/9991267/09991701.pdf?arnumber=9991701

Reference19 articles.

1. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2. Cerebrovascular Disease. In: StatPearls [Internet];Khaku,2022

3. Management of Asymptomatic Carotid Artery Stenosis

4. Imaging modalities to diagnose carotid artery stenosis: progress and prospect

5. Carotid Ultrasound

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