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

Publication2024

BT-CNN: a balanced binary tree architecture for classification of brain tumour using MRI imaging

The record

Type
Publication
Date
1 January 2024
Level
International — held abroad
Journal
Frontiers in Physiology
Volume
15
Published
1 January 2024
DOI
10.3389/fphys.2024.1349111
Scopus ID
85191166354
ISSN
1664042X
Authors
10
Open access
Yes
Citations
12
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

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

    GoalPrimaryHigh confidenceJudged

    Proposes BT-CNN deep learning architecture for brain tumor classification using MRI imaging, achieving 96.06% test accuracy and improving diagnostic accuracy for cancer patients.

    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

    Develops novel balanced binary tree CNN architecture with depthwise separable convolutions, advancing research capacity in deep learning and computer-aided diagnostic systems.

    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-based diagnostic tool improves brain tumor detection and classification, supporting early cancer diagnosis and treatment planning for patient health outcomes.

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

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KIIT Deemed to be University. “BT-CNN: a balanced binary tree architecture for classification of brain tumour using MRI imaging”. Kortex.

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