Publication2025
Early Brain Tumor Detection using Dynamic Spectrum and Modified Swin Transformer
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 2nd International Conference on Cognitive Green and Ubiquitous Computing IC Cgu 2025
- Published
- 1 January 2025
- DOI
- 10.1109/ic-cgu67042.2025.11338049
- Scopus ID
- 105033352805
- 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
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
Dynamic spectrum analysis and Swin transformer deep learning model detects brain tumor variants achieving 97.25% accuracy for early-stage healthcare 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Modified neural network architecture and computational methodology advance medical imaging and disease detection innovation.
- 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 brain tumor detection technology improves health outcomes through timely intervention.
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “Early Brain Tumor Detection using Dynamic Spectrum and Modified Swin Transformer”. Kortex.