Personalized diagnosis of early colorectal cancer high-risk population based on colonoscopy machine learning model
Ontology highlight
ABSTRACT: Interventions: Gold Standard:Pathological diagnosis of resected intact sample.;Index test:Artificial intelligent convolution neural network
Primary outcome(s): Colonoscopic images
Study Design: Cross-sectional
DISEASE(S): Early Colorectal Cancer
PROVIDER: 80163 | ecrin-mdr-crc |
REPOSITORIES: ECRIN MDR
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