Publication2018
Social group optimization assisted image processing practice to extract retinal optic disc/Cup
The record
- Type
- Publication
- Date
- 2 July 2018
- Level
- National
- Journal
- Proceedings of the 2nd World Conference on Smart Trends in Systems Security and Sustainability Worlds4 2018
- Pages
- 271-275
- Published
- 2 July 2018
- DOI
- 10.1109/worlds4.2018.8611477
- Scopus ID
- 85062098444
- Authors
- 2
- Open access
- No
- Citations
- 2
- International co-authorship
- No
- Co-author countries
- 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
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
Uses machine learning and image processing to automatically extract and segment retinal optic disc and cup features, enabling early detection of glaucoma and vision-threatening diseases.
- 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
Viksit Bharat @2047
vb-1.2 Health and well-being
Advances eye health and disease prevention through diagnostic technology.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Social group optimization assisted image processing practice to extract retinal optic disc/Cup”. Kortex.