Bringing AI to Clinicians: Simplifying Pleural Effusion Cytology Diagnosis with User-Friendly Models

Bringing AI to Clinicians: Simplifying Pleural Effusion Cytology Diagnosis with User-Friendly Models

<b>Background:</b> Malignant pleural effusions (MPEs) are common in advanced lung cancer patients. Cytological examination of pleural fluid is essential for identifying cell types but presents diagnostic challenges, particularly when reactive mesothelial cells mimic neoplastic cells. AI-...

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Bibliographic Details
Main Authors: Enrico Giarnieri, Elisabetta Carico, Stefania Scarpino, Alberto Ricci, Pierdonato Bruno, Simone Scardapane, Daniele Giansanti
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Diagnostics
Subjects:
cytopathology
cytology
pleural effusion
lung adenocarcinoma
machine learning
YOLOv8
Online Access:https://www.mdpi.com/2075-4418/15/10/1240
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https://www.mdpi.com/2075-4418/15/10/1240

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