Enhancing clinical diagnosis of laryngeal cancer through fusion-based transfer learning with Osprey Optimisation Algorithm using histology images
Therefore, the proposed model can be employed for the accurate detection of the LC using the histopathological images.
Authors
- Nouf Al-Kahtani (ORCID: https://orcid.org/0000-0003-0211-5461)
- Mona Jamjoom (ORCID: https://orcid.org/0000-0001-9149-2810)
- Samih M. Mostafa (ORCID: https://orcid.org/0000-0001-9234-5898)
- Mohamad Khairi Ishak (ORCID: https://orcid.org/0000-0002-3554-0061)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Ajman University (AE)
- South Valley University (EG)
- Imam Abdulrahman Bin Faisal University (SA)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-10-08
- DOI
- https://doi.org/10.3389/fonc.2025.1618349
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00