A hybrid approach based on deep cnn and machine learning classifiers for the tumor segmentation and classification in brain mri

HIGHLIGHTS

• who: Ejaz Ul Haq and colleagues from the Guangdong Key Laboratory of Intelligent Information Processing, School of Electronics and Information Engineering, Shenzhen University, China have published the article: A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI, in the Journal: Computational and Mathematical Methods in Medicine 0.8 of 13/01/2022
• what: In this work an integrated and hybrid approach based on deep convolutional neural network and machine learning classifiers is proposed for the accurate segmentation and classification of brain MRI tumor. Gliomas . . .
  

   

  

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