Dental Image Segmentation Network Quantization via Block-utility Analysis

Key Points

• Performance loss is minimized through a new quantization strategy based on block utility analysis, ensuring effective segmentation.
• Addresses the challenge of high computational costs associated with hybrid networks combining CNN and transformers in dental imaging.
• This approach analyzes block-wise contributions and quantization sensitivity, leading to more efficient algorithms.
• Implications suggest that optimized quantization could enhance real-world applicability in clinical settings.