COMPUTATIONAL PATHOLOGY IN ORAL POTENTIALLY MALIGNANT DISORDERS - Couverture souple

Kuttappan, Smitha; George Mathew, Deepu; Thomas, Priya

Couverture souple

ISBN 10 : 6630091620 ISBN 13 : 9786630091625

Editeur : LAP LAMBERT Academic Publishing, 2026

Synopsis

Computational pathology is an emerging field that integrates digital pathology, artificial intelligence (AI), machine learning (ML), and image analysis techniques to enhance the diagnosis, grading, risk assessment, and management of oral potentially malignant disorders (OPMDs). OPMDs, including oral leukoplakia, oral erythroplakia, oral submucous fibrosis, and oral lichen planus, possess varying risks of malignant transformation into oral squamous cell carcinoma (OSCC). Accurate prediction of this transformation remains a significant challenge in conventional histopathology due to interobserver variability and subjective interpretation. Computational pathology represents a transformative approach in the evaluation of OPMDs. By providing objective, quantitative, and reproducible analyses, it has the potential to improve diagnostic accuracy, predict malignant transformation more effectively, and facilitate personalized patient management, ultimately contributing to better outcomes in oral cancer prevention and early detection.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 6630091620
• ISBN 13: 9786630091625
• Reliure: Broché
• Nombre de pages: 128
• Coordonnées du fabricant: non disponible
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