Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm-Reference-Cited by-同舟云学术

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Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm

Published:2022-09-19 Issue:1 Volume:33 Page:69-91
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Ozaltin Oznur¹^ORCID,Coskun Orhan²,Yeniay Ozgur¹,Subasi Abdulhamit³⁴

Affiliation:

1. Department of Statistics Institute of Science, Hacettepe University Ankara Turkey

2. Pediatric Neurology Gaziosmanpaşa Training and Research Hospital, Health Sciences University Istanbul Turkey

3. Institute of Biomedicine, Faculty of Medicine University of Turku Turku Finland

4. Department of Computer Science College of Engineering, Effat University Jeddah Saudi Arabia

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22806

Reference79 articles.

1. Guidelines for the Management of Spontaneous Intracerebral Hemorrhage in Adults

2. The Acute Management of Intracerebral Hemorrhage

3. Can Computed Tomography Angiography of the Brain Replace Lumbar Puncture in the Evaluation of Acute-onset Headache After a Negative Noncontrast Cranial Computed Tomography Scan?

4. Intracranial hemorrhage: principles of CT and MRI interpretation

5. Towards effective classification of brain hemorrhagic and ischemic stroke using CNN

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3. Exploring Deep Learning and Machine Learning Approaches for Brain Hemorrhage Detection;IEEE Access;2024

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