FNA Cytology AI-Assisted Diagnosis System
Designed for fine-needle aspiration cytology images, the system helps identify cell cluster distribution and nuclear morphology, quickly marking cell regions that need attention. It supports segmentation and evidence-based interpretation of individual nuclei and cell clusters, and every conclusion can be traced back to specific nuclei for verification.
Core Features
Cell Cluster & Nuclear Feature Analysis
Segments individual nuclei and cell clusters and analyzes morphological features such as nuclear enlargement, nuclear grooves and intranuclear pseudoinclusions.
Suspicious Cell Region Localization
Automatically locates suspicious cell regions and quickly marks fields that need attention.
Risk Stratification & Bethesda Classification
Provides case-level scores, risk stratification and Bethesda classification suggestions.
Key Fields & Evidence Retention
Every piece of supporting evidence comes with images and reasoning, traceable back to specific cells.
Specimen Adequacy Assessment
Flags insufficient cellularity, blood contamination and similar issues to help determine specimen adequacy.
Diagnostic Conclusions & Recommendations
Outputs diagnostic conclusions and recommendations, signed out after physician review.
Product Interface & Photos
Workflow
Smear Scanning
Whole-slide digitization of aspiration smears
Cell Segmentation
Individual segmentation of nuclei and cell clusters
Evidence-Based Interpretation
Risk stratification and supporting evidence
Review & Sign-Out
Signed out after image-by-image physician review
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