CS-Colon Algorithm by NucleIQ® for

Pólipos de Colon

Automated Polyp Detection

Identifies and classifies polyps in colon tissue samples, distinguishing between benign tumor types and lesions with dysplasia or adenocarcinoma. 

Increased Diagnostic Efficiency

Significantly speeds up the identification and classification process, enabling more timely medical interventions

Workflow Automation and Standardization

Minimizes the need for manual intervention and ensures a consistent, standardized interpretation of lesions. 

Comprehensive Slide Analysis

Improves diagnostic accuracy by analyzing the entire slide of the sample.

Minimizes interobserver variability

Provides consistent, reproducible results, facilitating longitudinal disease monitoring and evaluation.
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