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

Publication2020

A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

The record

Type
Publication
Date
1 August 2020
Level
International — held abroad
Journal
Pattern Recognition Letters
Volume
136
Pages
8-15
Published
1 August 2020
DOI
10.1016/j.patrec.2020.05.019
Scopus ID
85085598619
ISSN
01678655
Authors
6
Open access
No
Citations
135
International co-authorship
Yes
Co-author countries
BR, GB, 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 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    Transfer learning and deep learning CNN models (DenseNet201) for skin lesion classification achieve 96.805% accuracy enabling early melanoma detection for treatment.

    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

    IoT and deep learning integration for wearable health monitoring demonstrates research innovation in medical 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-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    Digital health monitoring and AI diagnostic technology exemplifies digital technology and health innovation.

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

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KIIT Deemed to be University. “A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system”. Kortex.

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