Assessment of Deep Convolutional Neural Network Models for the Classification of Benign Fibro‐Osseous Lesions of the Jaws
The DCNN model has the potential to be developed as an auxiliary tool, assisting pathologists in diagnosing BFOLs. Through ongoing refinements, artificial intelligence assistance can aid pathologists in enhancing the accuracy and efficiency of BFOL diagnosis.
Authors
- Kraisorn Sappayatosok (ORCID: https://orcid.org/0000-0003-1467-8974)
- Chawan Manaspon (ORCID: https://orcid.org/0000-0001-8961-7901)
- Thanaphum Noom Osathanon (ORCID: https://orcid.org/0000-0003-1649-6357)
- Paniti Achararit (ORCID: https://orcid.org/0000-0003-2753-7580)
- Chavin Jongwannasiri (ORCID: https://orcid.org/0000-0002-3169-2789)
- Ekarat Phattarataratip (ORCID: https://orcid.org/0000-0002-5940-7935)
Institutions
- Chulalongkorn University (TH)
- Chulabhorn Hospital (TH)
- Chiang Mai University (TH)
- Rangsit University (TH)
Publication Details
- Journal
- Clinical and Experimental Dental Research
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1002/cre2.70244
- Primary Topic
- Bone Tumor Diagnosis and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chulalongkorn University