Classificationofmulticlasshistopathologicalbreastimagesusing residual deep learning

HIGHLIGHTS

• who: Mohamed Meselhy Eltoukhy et al. from the Department of Information Technology, College of Computing and Information Technology at Khulais, University of Jeddah, Jeddah, Saudi Arabia have published the article: ClassificationofMulticlassHistopathologicalBreastImagesUsing Residual Deep Learning, in the Journal: Computational Intelligence and Neuroscience of 10/Oct/2022
• what: The primary motivation for developing a better breast cancer detection algorithm is to assist doctors familiar with the molecular subtypes of breast cancer in controlling tumor cell metastasis early in the disease`s prognosis and treatment planning.
• how: The authors proposed a residual deep learning model called . . .
  

   

  

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