Publication2026
GeoFed-Cervix: A Differential Geometry–Guided Federated and Explainable AI Framework for Early Cervical Cancer Detection on Consumer Devices
The record
- Type
- Publication
- Date
- 1 February 2026
- Level
- International — held abroad
- Journal
- IEEE Transactions on Consumer Electronics
- Volume
- 72
- Issue
- 1
- Pages
- 2360-2367
- Published
- 1 February 2026
- DOI
- 10.1109/tce.2026.3651019
- Scopus ID
- 105027108386
- ISSN
- 00983063
- Authors
- 6
- Open access
- No
- Citations
- 4
- International co-authorship
- Yes
- Co-author countries
- DK, 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
3.3 End the epidemics of AIDS, tuberculosis, malaria, neglected tropical diseases, hepatitis and water-borne diseases
Federated learning framework for cervical cancer detection achieves 98.27% accuracy in early precancer identification on consumer devices.
- 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
Geometric deep learning and personalized federated learning innovation enable privacy-preserving healthcare AI systems.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Cancer screening technology deployed on edge devices expands healthcare access in resource-limited settings.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “GeoFed-Cervix: A Differential Geometry–Guided Federated and Explainable AI Framework for Early Cervical Cancer Detection on Consumer Devices”. Kortex.