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Dual-level self-adaptive threshold learning for semi-supervised CNV classification
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DOI：10.1016/j.patcog.2026.113757.png)
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Abstract
En 中文
• We propose semi-supervised CNV classification method based on dual-level self-adaptive threshold learning. • We proposed a class structure-guided pseudo-label refinement module. • We designed sample difficulty-aware threshold learning module for sample-level threshold generation.
Keywords:
CNV classification
semi-supervised learning
self-adaptive threshold
pseudo-label refinement
sample difficulty-aware
Journal
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7.6
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1.3W
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