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

Publication2025

TL-PneuNet: a transfer learning-based pneumonia classification framework

The record

Type
Publication
Date
1 December 2025
Level
International — held abroad
Journal
Scientific Reports
Volume
15
Issue
1
Published
1 December 2025
DOI
10.1038/s41598-025-24180-8
Scopus ID
105022092515
ISSN
20452322
Authors
7
Open access
Yes
Citations
1
International co-authorship
Yes
Co-author countries
IN, SA

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. 3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being

    TargetPrimaryHigh confidenceJudged

    Transfer learning-based pneumonia classification using ResNet152V2 achieves 83.17% accuracy with 97.69% recall on imbalanced chest X-ray 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

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

    TargetSecondaryModerate confidenceJudged

    Deep learning medical imaging methodology applying vision model transfer learning for respiratory disease detection.

    Moderate confidence
    The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
    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

    Respiratory disease rapid diagnosis through transfer learning framework accelerating clinical decision-making.

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

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Citing this record

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KIIT Deemed to be University. “TL-PneuNet: a transfer learning-based pneumonia classification framework”. Kortex.

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