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

Research article (International Journal on Advanced Science Engineering and Information Technology, 2020) · cited 22× · AI/ML
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Ischemic Stroke Classification using Random Forests Based on Feature Extraction of Convolutional Neural Networks

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Ischemic Stroke Classification using Random Forests Based on Feature Extraction of Convolutional Neural Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Ischemic Stroke Classification using Random Forests Based on Feature Extraction of Convolutional Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/ischemic-stroke-classification-using-random-forests-based-on-feature-extraction-of-convolutional-neural-networks
MLA “Ischemic Stroke Classification using Random Forests Based on Feature Extraction of Convolutional Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ischemic-stroke-classification-using-random-forests-based-on-feature-extraction-of-convolutional-neural-networks.
BibTeX @misc{4ortxyz_ischemic-stroke-classification-using-random-forests-based-on-feature-extraction-of-convolutional-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ischemic Stroke Classification using Random Forests Based on Feature Extraction of Convolutional Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/ischemic-stroke-classification-using-random-forests-based-on-feature-extraction-of-convolutional-neural-networks}, note = {Accessed: 2026-05-24}}
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