The eagle eye and the algorithm: Automation in oral cancer histopathological diagnosis - A symbiotic future-Reference-Cited by-同舟云学术

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The eagle eye and the algorithm: Automation in oral cancer histopathological diagnosis - A symbiotic future

Published:2024-06 Issue: Volume:10 Page:100392
ISSN:2772-9060
Container-title:Oral Oncology Reports
language:en
Short-container-title:Oral Oncology Reports

Author:

Pawar Ajinkya M.^ORCID,Desai Rajiv

Publisher

Elsevier BV

Reference12 articles.

1. Toward early diagnosis of oral cancer: diagnostic utility of cytomorphological features, a pilot study;Jairajpuri;Natl J Maxillofac Surg,2019

2. Improving oral cancer outcomes with imaging and artificial intelligence;Ilhan;J Dent Res,2020

3. Artificial intelligence for oral squamous cell carcinoma detection based on oral photographs: a comprehensive literature review;de Chauveron;Cancer Med,2024

4. Automated image analysis in histopathology: a valuable tool in medical diagnostics;Mulrane;Expert Rev Mol Diagn,2008

5. Application and performance of artificial intelligence (AI) in oral cancer diagnosis and prediction using histopathological images: a systematic review;Khanagar;Biomedicines,2023

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