Lesion detection using artificial intelligence models in MR images of prostate cancer and prostatitis patients and comparison of model performance
The deep learning models demonstrated promising diagnostic capabilities, comparable to radiologists, in distinguishing prostatitis and P5 prostate cancer lesions. Overall, the findings suggest that AI-based diagnostic tools hold potential as clinical decision support systems.
Authors
- Ahmet Coşkunçay (ORCID: https://orcid.org/0000-0002-7411-310X)
- Gülen Burakgazi (ORCID: https://orcid.org/0000-0003-4913-4838)
- Merve Solak (ORCID: https://orcid.org/0000-0003-3466-7260)
- Osman DURDAG (ORCID: https://orcid.org/0000-0003-2167-1738)
- Muhammed Kaya
Institutions
- Recep Tayyip Erdoğan University (TR)
- Ankara Atatürk Eğitim ve Araştırma Hastanesi (TR)
- Atatürk University (TR)
Publication Details
- Journal
- Frontiers in Urology
- Published
- 2026-01-19
- DOI
- https://doi.org/10.3389/fruro.2025.1726795
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00