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Reliability-Preserving Compression for Deployable Medical Image Segmentation
artificial-intelligencecomputer-vision-and-pattern-recognitionimage-and-video-processingmachine-learningsignal-processing
Post-training compression of pretrained medical segmentation models commonly uses quantization, pruning, or distillation to reduce model size and computational cost. Existing medical segmentation quantization studies mainly evaluate Dice, model size, memory, and latency, but this is incomplete for s
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