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

Publication2025

Advanced Deep Learning Framework for MRI Brain Tumor Detection: ResNet50 and GAN-Driven Data Augmentation for Rare Tumor Analysis

The record

Type
Publication
Date
1 January 2025
Level
International — held abroad
Journal
Esic 2025 5th International Conference on Emerging Systems and Intelligent Computing Proceedings
Pages
853-858
Published
1 January 2025
DOI
10.1109/esic64052.2025.10962671
Scopus ID
105004549337
Authors
5
Open access
No
Citations
3
International co-authorship
Yes
Co-author countries
DE, 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

  1. 3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being

    TargetPrimaryHigh confidenceJudged

    Advanced deep learning framework using ResNet50 and GAN for brain tumor detection from MRI enables accurate diagnosis of rare tumor types

    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-based medical imaging for tumor detection improves early diagnosis and patient health outcomes

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

  2. vb-3.2 Digital technology and artificial intelligence

    Sub-themeSecondaryHigh confidenceJudged

    Deep learning and neural network application in medical imaging represents artificial intelligence advancement in healthcare

    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. “Advanced Deep Learning Framework for MRI Brain Tumor Detection: ResNet50 and GAN-Driven Data Augmentation for Rare Tumor Analysis”. Kortex.

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