DBO-HGRU-enhanced brain tumor segmentation and classification technique using auto-encoder

Key Points

• Enhanced segmentation of brain tumors may lead to more accurate treatment plans and better patient outcomes.
• The method achieved a classification accuracy of 95% when evaluated on a benchmark dataset.
• Assessment using deep learning techniques, specifically auto-encoders with DBO-HGRU, improves performance.
• This innovation might enable more efficient diagnosis and monitoring in clinical settings.