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

Publication2026

Regularized Transfer Learning in Brain Tumor Classification: Leveraging Pretrained Models for Improved Diagnostic Accuracy

The record

Type
Publication
Date
1 December 2026
Level
International — held abroad
Journal
Inteligencia Artificial
Volume
29
Issue
78
Pages
84-102
Published
1 December 2026
DOI
10.4114/intartif.vol29iss78pp84-102
Scopus ID
105046213471
ISSN
11373601
Authors
5
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
IN, KR

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

    Regularized transfer learning framework for brain tumor classification using MRI improves diagnostic accuracy and neurological disease detection capabilities.

    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. 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-driven diagnostic system for brain tumor detection supports improved cancer diagnosis and treatment planning for neurological patients.

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

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KIIT Deemed to be University. “Regularized Transfer Learning in Brain Tumor Classification: Leveraging Pretrained Models for Improved Diagnostic Accuracy”. Kortex.

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