Refining cell classification for cervical cancer detection using an improved high dimensional feature fusion approach
The results confirm the robustness and adaptability of the Modified HDFF framework, making it a reliable candidate for real-world cervical cancer screening. Its ability to generalize across datasets underscores its clinical relevance and diagnostic value.
Authors
- Pawan Kumar Patnaik (ORCID: https://orcid.org/0009-0009-5212-3356)
- Pushpendra Singh (ORCID: https://orcid.org/0000-0001-8608-5188)
- Seema Singh (ORCID: https://orcid.org/0009-0002-8750-2590)
- Alka Mishra (ORCID: https://orcid.org/0000-0002-8997-6581)
- Santosh Kumar Mishra (ORCID: https://orcid.org/0000-0001-8616-2606)
- Chandrahas Sahu
Institutions
- Chhattisgarh Swami Vivekanand Technical University (IN)
- Indian Institute of Technology Bhilai (IN)
Publication Details
- Journal
- Medical Engineering & Physics
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1016/j.medengphy.2025.104445
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00