Retention-Constrained Post-Training Quantization of Cellpose-SAM for Stem Cell Microscopy

arXiv:2609.21038 · physics.med-ph, cs.ET, q-bio.QM · Submitted 2026-09-17 · Read on arXiv

physics.med-ph, cs.ET, q-bio.QM

Submitted: 2026-09-17

Updated: 2026-09-17

Terminology

• Quantization — 14× in this paper · explained in 12 episodes
• Foundation Model — 9× in this paper · explained in 3 episodes
• Foundation Models — 6× in this paper · explained in 7 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Angular Error — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• International Conference on Learning Representations — 1× in this paper

Sources

• Quantizing deep convolutional networks for efficient inference: A whitepaper
• A White Paper on Neural Network Quantization
• SAM 2: Segment Anything in Images and Videos
• How precise are performance estimates for typical medical image segmentation tasks?

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