The role of artificial intelligence and deep learning in determining the histopathological grade of pancreatic neuroendocrine tumors by using EUS images
This pilot study suggests that pNET grade prediction can be reliably done on EUS images using AI-based technology.
Authors
- Gökhan Silahtaroğlu (ORCID: https://orcid.org/0000-0001-8863-8348)
- Koray Koçhan (ORCID: https://orcid.org/0000-0002-8150-6577)
- Şerife Değirmencioğlu (ORCID: https://orcid.org/0000-0002-3002-9133)
- Hakan Şentürk
- Sercan Kiremitçi (ORCID: https://orcid.org/0000-0001-7901-1412)
- Gülseren Seven (ORCID: https://orcid.org/0000-0003-3384-3197)
Institutions
- Bezmiâlem Vakıf Üniversitesi (TR)
- Istanbul Medipol University (TR)
Publication Details
- Journal
- Endoscopic Ultrasound
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1097/eus.0000000000000113
- Citations
- 5
- Primary Topic
- Neuroendocrine Tumor Research Advances
- Type
- article
- Field-Weighted Citation Impact
- 6.77