Breast mri tumor automatic segmentation and triple-negative breast cancer discrimination algorithm based on deep learning

HIGHLIGHTS

• who: Ying-Ying Guo and colleagues from the Department of CT/MRI, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China have published the article: Breast MRI Tumor Automatic Segmentation and Triple-Negative Breast Cancer Discrimination Algorithm Based on Deep Learning, in the Journal: Computational and Mathematical Methods in Medicine of 31/08/2022
• what: For MRI breast tumor segmentation the authors propose a CNN-SVM network. This study proposes a brain tumor segmentation approach based on a convolutional neural_network and SVM. At the same time, to verify the method `s effectiveness again, the . . .
  

   

  

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