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Feature Extraction Using a Residual Deep Convolutional Neural Network (ResNet-152) and Optimized Feature Dimension Reduction for MRI Brain Tumor Classification.

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第一作者： Suganya,Athisayamani

第一单位： School of Computing, Sastra Deemed to be University, Thanjavur 613401, India.

作者： Suganya,Athisayamani ^[1] ; Robert Singh,Antonyswamy ^[2] ; Velliangiri,Sarveshwaran ^[2] ; Meshari,Almeshari ^[3] ; Yasser,Alzamil ^[3] ; Vinayakumar,Ravi ^[4]

作者单位： School of Computing, Sastra Deemed to be University, Thanjavur 613401, India. ^[1] Department of Computational Intelligence, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India. ^[2] Department of Diagnostic Radiology, College of Applied Medical Sciences, University of Ha'il, Ha'il 55476, Saudi Arabia. ^[3] Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar 34754, Saudi Arabia. ^[4]

关键词 Canny algorithm deep convolutional neural network modified chimp optimization algorithm softmax classifier spatial gray level dependence matrix

DOI 10.3390/diagnostics13040668

PMID 36832156

发布时间 2024-09-13

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Diagnostics (Basel, Switzerland)

2023年13卷4期

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Feature Extraction Using a Residual Deep Convolutional Neural Network (ResNet-152) and Optimized Feature Dimension Reduction for MRI Brain Tumor Classification.

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Feature Extraction Using a Residual Deep Convolutional Neural Network (ResNet-152) and Optimized Feature Dimension Reduction for MRI Brain Tumor Classification.

Diagnostics (Basel, Switzerland)

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Diagnostics (Basel, Switzerland)

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