Objective Evaluation of Small Bowel Visualization Quality in Wireless Capsule Endoscopy Images Using Generative Adversarial Network
The proposed model requires only a small set of annotated images during training and is well-suited for clinical applications, including quality control of capsule endoscopy videos, objective comparison of bowel preparation protocols, and assessment of antifoaming agents. Future work will explore applying the model to other modalities, such as colonoscopy and conventional endoscopy, and expanding its capabilities to segment other artifacts, enhancing its overall clinical utility.
Authors
- Somayyeh Seyedi (ORCID: https://orcid.org/0000-0002-3677-1347)
- Alireza Mehridehnavi (ORCID: https://orcid.org/0000-0002-7964-0478)
- Vahid Sadeghi (ORCID: https://orcid.org/0000-0002-5816-1769)
- Alireza Vard (ORCID: https://orcid.org/0000-0003-1768-910X)
- Ramin Afrah (ORCID: https://orcid.org/0000-0002-5473-5964)
- Mohsen Sharifi (ORCID: https://orcid.org/0000-0002-9471-3428)
- Maryam Behdad
Institutions
- Yazd University (IR)
- Isfahan University of Medical Sciences (IR)
Publication Details
- Journal
- Advanced Biomedical Research
- Published
- 2025-10-01
- DOI
- https://doi.org/10.4103/abr.abr_381_24
- Primary Topic
- Gastrointestinal Bleeding Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00