Ischemic Stroke Classification using Random Forests Based on Feature Extraction of Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Ischemic Stroke Classification using Random Forests Based on Feature Extraction of Convolutional Neural Networks

Published:2020-10-30 Issue:5 Volume:10 Page:2177
ISSN:2460-6952
Container-title:International Journal on Advanced Science, Engineering and Information Technology
language:
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Author:

Saragih Glori Stephani,Rustam Zuherman,Aldila Dipo,Hidayat Rahmat,Yunus Reyhan E.,Pandelaki Jacub

Publisher

Insight Society

Subject

General Engineering,General Agricultural and Biological Sciences,General Computer Science

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stroke Disease Classification Using CT Scan Image with Vision Transformer Method;2024 International Electronics Symposium (IES);2024-08-06

2. Deep Learning and Artificial Intelligence in Action (2019–2023): A Review on Brain Stroke Detection, Diagnosis, and Intelligent Post-Stroke Rehabilitation Management;IEEE Access;2024

3. Machine Learning Based Stroke Segmentation and Classification from CT-Scan: A Survey;Communications in Computer and Information Science;2024

4. Classification of Salt Quality based on Salt-Forming Composition using Random Forest;Journal of Physics: Conference Series;2022-12-01

5. An Ensemble of Deep Learning Enabled Brain Stroke Classification Model in Magnetic Resonance Images;Journal of Healthcare Engineering;2022-11-18

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