Publication2025
Advancements in fusion-based deep representation learning for enhanced cervical precancerous lesion classification using biomedical image analysis
The record
- Type
- Publication
- Date
- 1 December 2025
- Level
- National
- Journal
- Scientific Reports
- Volume
- 15
- Issue
- 1
- Published
- 1 December 2025
- DOI
- 10.1038/s41598-025-20693-4
- Scopus ID
- 105019354888
- ISSN
- 20452322
- Authors
- 7
- Open access
- Yes
- Citations
- 3
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
Deep learning fusion of vision transformers and autoencoders achieves 98.62 percent accuracy for cervical cancer screening and early precancerous lesion detection.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Novel fusion-based deep representation learning methodology demonstrates artificial intelligence research advancement in biomedical image analysis.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Cancer screening technology innovation directly supports disease prevention and health outcomes improvement.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Advancements in fusion-based deep representation learning for enhanced cervical precancerous lesion classification using biomedical image analysis”. Kortex.