Publication2026
Early Detection of Knee Osteoarthritis: A Simple and Effective Approach Using Local Directional Octa Pattern (LDOP)
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Lecture Notes in Networks and Systems
- Volume
- 1684 LNNS
- Pages
- 153-165
- Published
- 1 January 2026
- DOI
- 10.1007/978-3-032-08246-6_13
- Scopus ID
- 105028365627
- ISSN
- 23673370
- Authors
- 4
- Open access
- No
- Citations
- 0
- 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 Ensure healthy lives and promote well-being for all at all ages
Study develops computer-aided detection system using Local Directional Octa Pattern achieving 97.8% accuracy for early detection of knee osteoarthritis from radiographic images.
- 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
9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Computer vision and deep learning methodology for automated disease detection demonstrates research innovation in medical imaging analysis and artificial intelligence application.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Early osteoarthritis detection through AI-assisted imaging improves health outcomes by enabling timely intervention and disease management in affected populations.
- 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. “Early Detection of Knee Osteoarthritis: A Simple and Effective Approach Using Local Directional Octa Pattern (LDOP)”. Kortex.