An intelligent hybrid efficient residual transfer learning approach for multiclass brain tumor classification

Key Points

• Brain tumor classification achieves improved accuracy with the proposed transfer learning method.
• The algorithm shows a significant performance increase, reaching accuracy levels of over 95%.
• Assessment employs advanced machine learning techniques, utilizing residual networks to enhance feature representation.
• This method hints at better diagnostic tools for healthcare professionals, although real-world testing is necessary.