연구동향 분석

Brain Tumor Detection Using Wavelet Transform and Convolution Neural Network in Magnetic Resonance Imaging

Mehrdad Dadgostar Sahar Solaymanpour Zahra Einalou Hamidreza Hosseinzadeh 2022년

논문상세정보
인용/피인용
' Brain Tumor Detection Using Wavelet Transform and Convolution Neural Network in Magnetic Resonance Imaging' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • convolution neural network
  • glioma
  • magnetic resonance imaging
  • wavelet transform
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
358 0

0.0%

' Brain Tumor Detection Using Wavelet Transform and Convolution Neural Network in Magnetic Resonance Imaging' 의 참고문헌

  • The multimodal brain tumor image segmentation benchmark(BRATS)
  • The 2016 World Health Organization classification of tumors of the central nervous system : a summary
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  • Multi-classification of brain tumor images using deep neural network
  • Magnetic resonance imagingbased brain tumor grades classification and grading via convolutional neural networks and genetic algorithms
  • Deep feature learning with discrimination mechanism for brain tumor segmentation and diagnosis
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    Zhang, W. [2015]
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  • Correction: enhanced performance of brain tumor classification via tumor region augmentation and partition
    Cheng, J. [2015]
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  • Classification of brain tumor grades using neural network
    Sudha, B. [2014]
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    Pan, Y [2015]
  • Brain tumor dataset (Version 5)
  • Brain tumor classification using convolutional neural network
  • Brain MRI segmentation with patch-based CNN approach
    Cui, Z [2016]
  • Automatic segmentation of MR brain images with a convolutional neural network
  • Automatic classification and localization of prostate cancer using multiparametric MRI/MRS
    Trigui, R. [2017]
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    Alfonse, M. [2016]
  • 3D multi-scale convolutional networks for glioma grading using MR images
    Ge, C. [2018]