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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Federated Learning Augmented with Convolutional Neural Networks for Brain Cancer Classification

The record

Type
Publication
Date
1 January 2025
Level
International — held abroad
Journal
Procedia Computer Science
Volume
258
Pages
2617-2626
Published
1 January 2025
DOI
10.1016/j.procs.2025.04.523
Scopus ID
105007158733
ISSN
18770509
Authors
5
Open access
Yes
Citations
9
International co-authorship
Yes
Co-author countries
IN, NG, 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

  1. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    Proposes federated learning with convolutional neural networks for brain cancer classification achieving 97.03% accuracy while preserving medical 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

  2. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetSecondaryHigh confidenceJudged

    Advanced deep learning methodology for medical imaging represents research innovation in AI and computational medicine

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

  3. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    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

  1. vb-1.2 Health and well-being

    Sub-themePrimaryHigh confidenceJudged

    AI-enabled early cancer detection improves treatment outcomes and patient survival rates

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Federated Learning Augmented with Convolutional Neural Networks for Brain Cancer Classification”. Kortex.

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