Publication2026
Privacy-Preserving Lung Nodule Segmentation Via Detection-Guided Coordinate Attention
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- International — held abroad
- Journal
- Conference Proceedings IEEE SOUTHEASTCON
- Published
- 1 January 2026
- DOI
- 10.1109/southeastcon63549.2026.11476355
- Scopus ID
- 105037804553
- ISSN
- 10910050
- Authors
- 2
- Open access
- No
- Citations
- 0
- International co-authorship
- Yes
- Co-author countries
- IN, US
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
Privacy-preserving federated learning for lung nodule segmentation using coordinate attention and YOLO detection improves pulmonary cancer diagnosis while protecting patient data privacy.
- 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
Federated learning and attention-based deep learning architectures represent advanced research in privacy-preserving artificial intelligence and medical imaging.
- 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 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Privacy-preserving federated learning for lung nodule segmentation using coordinate attention and YOLO detection improves pulmonary cancer diagnosis while protecting patient data privacy.
- 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. “Privacy-Preserving Lung Nodule Segmentation Via Detection-Guided Coordinate Attention”. Kortex.