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

Publication2024

Skin Cancer Risks Estimation Using VGG19 Framework

The record

Type
Publication
Date
1 January 2024
Level
International — held abroad
Journal
Lecture Notes in Networks and Systems
Volume
786
Pages
541-552
Published
1 January 2024
DOI
10.1007/978-981-99-6547-2_41
Scopus ID
85181978888
ISSN
23673370
Authors
6
Open access
No
Citations
2
International co-authorship
Yes
Co-author countries
BR, IN

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

    CNN-based skin cancer detection achieves 95.6% accuracy, enabling early diagnosis and improved treatment outcomes for melanoma

    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

    Automated cancer screening technology improves health outcomes through rapid and accurate disease detection

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

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KIIT Deemed to be University. “Skin Cancer Risks Estimation Using VGG19 Framework”. Kortex.

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Skin Cancer Risks Estimation Using VGG19 Framework · Kortex