IDENTIFICATION OF GRAPE DISEASES BASED ON IMPROVED YOLOXS

Identification of Grape Diseases Based on Improved YOLOXS

Here we proposed a grape disease identification model based on improved YOLOXS (GFCD-YOLOXS) to achieve real-time detection of grape diseases in field conditions.We build a dataset of 11,056 grape disease images in 15 categories, based on 2566 original grape disease images provided by the State Key Laboratory of Plant Pest Biology data center after

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Neoantigen architectures define immunogenicity and drive immune evasion of tumors with heterogenous neoantigen expression

Background Intratumoral Jeans heterogeneity (ITH) and subclonal antigen expression blunt antitumor immunity and are associated with poor responses to immune-checkpoint blockade immunotherapy (ICB) in patients with cancer.The underlying mechanisms however thus far remained elusive, preventing the design of novel treatment approaches for patients wit

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