Article

A Deterministic, Rule‑Based Pipeline for Automated Cervical Cytology-Histology Correlation Quality Assurance

2026-04-21

Abstract excerpt

<title>Abstract</title> <p>Background: Cervical cytology–histology correlation (CHC) is a key component of quality assurance (QA) in gynecologic cytopathology, enabling assessment of diagnostic concordance and identification of clinically significant discrepancies. Despite established guidance from the College of American Pathologists (CAP) and the Bethesda System, CHC practices remain variable across laboratori...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 69cd979d-041f-526c-b7cb-fab32e90a857
DOI: 10.21203/rs.3.rs-9460175/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Deterministic, Rule‑Based Pipeline for Automated Cervical Cytology-Histology Correlation Quality AssuranceDOI 10.21203/rs.3.rs-9460175/v1Read

A clinical-grade universal foundation model for intraoperative pathologySemantic proximity Read

Employing Consensus-Based Reasoning with Locally Deployed LLMs for Enabling Structured Data Extraction from Surgical Pathology ReportsSemantic proximity Read

Cross-country generalizability of foundation models for cervical cancer screenings on H&E whole slide imagesSemantic proximity Read

Homologous recombination deficiency prediction from whole slide images using label refinement and foundation-model benchmarking in ovarian cancerSemantic proximity Read

A Guide for the Deployment, Validation, and Accreditation of Clinical Digital Pathology ToolsSemantic proximity Read

Using Machine Learning to Parse Breast Pathology ReportsSemantic proximity Read

A hybrid approach to scalable real-world data curation by machine learning and human expertsSemantic proximity Read

External Validation of Predictive Models for High-Grade Cervical Lesions in Thai Women Undergoing ColposcopySemantic proximity Read

Generalizable and Automated Classification of TNM Stage from Pathology Reports with External ValidationSemantic proximity Read

Enhanced Cellular Detection in Cervical Cytopathology: A Systematic Study of YOLOv11 Training ParadigmsSemantic proximity Read

SortIT — A Tool For Assessing Observer Variability And Creating Ground Truth Image Classification DatasetsSemantic proximity Read

CINNAMON-GUI: Revolutionizing Pap Smear Analysis with CNN-Based Digital Pathology Image ClassificationSemantic proximity Read