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This work proposes QUALS, a large-scale time series corpus equilibrium framework that significantly enhances data efficiency, enabling existing models to achieve superior performance using only a small fraction of the original training data.
In the studied minimally invasive, sphincter-preserving rectal cancer cohort, a lymph node count below twelve should be interpreted together with tumor height, NAT exposure, and treatment composition rather than being used as an isolated indicator of inadequate surgical or pathological quality.