APTES: A high-throughput deep learning–based Arabidopsis phenotypic trait estimation system for individual leaves and siliques (IMAGE)
Caption
APTES integrates optimized Cascade Mask R-CNN (leaves) and DetectoRS (siliques) models to segment individual leaves/siliques and extract 128 traits, enabling high-throughput GWAS in Arabidopsis.
Credit
Beijing Zhongke Journal Publising Co. Ltd.
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Credit must be given to the creator.
License
CC BY