Publication2026
Multiscale Deformable Attention Enhanced YOLO Framework for Cervical Cancer Cell Classification
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Proceedings International Conference on Computational Intelligence and Networks
- Published
- 1 January 2026
- DOI
- 10.1109/cine68769.2026.11502677
- Scopus ID
- 105041157885
- ISSN
- 23755822
- Authors
- 3
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Develops hybrid CNN and transformer framework with multiscale deformable attention for cervical cancer cell classification achieving 96.77% accuracy on Pap smear dataset.
- 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
Viksit Bharat @2047
vb-1.2 Health and well-being
Creates deep learning system for automated cervical cancer screening, advancing early disease detection and diagnostic accuracy for cancer prevention.
- 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. “Multiscale Deformable Attention Enhanced YOLO Framework for Cervical Cancer Cell Classification”. Kortex.