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

Publication2020

OCTx: Ensembled deep learning model to detect retinal disorders

The record

Type
Publication
Date
1 July 2020
Level
International — held abroad
Journal
Proceedings IEEE Symposium on Computer Based Medical Systems
Volume
2020-July
Pages
526-531
Published
1 July 2020
DOI
10.1109/cbms49503.2020.00105
Scopus ID
85091181391
ISSN
10637125
Authors
4
Open access
No
Citations
30
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. 3.8 Achieve universal health coverage, including financial risk protection and access to essential medicines

    TargetPrimaryHigh confidenceJudged

    Develops OCTx deep learning ensemble to classify retinal OCT images, detecting diabetic macular edema, choroidal neovascularization and drusen with 98.53% accuracy for improved ophthalmic diagnosis.

    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 Empowered Indians

    ThemePrimaryHigh confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Develops OCTx deep learning ensemble to classify retinal OCT images, detecting diabetic macular edema, choroidal neovascularization and drusen with 98.53% accuracy for improved ophthalmic diagnosis.

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

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KIIT Deemed to be University. “OCTx: Ensembled deep learning model to detect retinal disorders”. Kortex.

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OCTx: Ensembled deep learning model to detect retinal disorders · Kortex