Parameter-efficient deep-learning-based model for segmentation with radiomic feature extraction

Key Points

• The research aims to evaluate the effectiveness of parameter-efficient deep learning models for tumor segmentation in DCE-MRI images.
• Developed a deep learning model focusing on parameter efficiency for image segmentation.
• Utilized DCE-MRI imaging for tumor analysis.
• Implemented radiomic feature extraction during the segmentation process.
• Achieved competitive performance in tumor segmentation compared to more complex models.
• Showed improvements in processing efficiency without significant loss in accuracy.