Publication2025
Enhancing Melanoma Detection With Anisotropic Median Filtering and Multinomial Classification Vision Transformer
The record
- Type
- Publication
- Date
- 1 May 2025
- Level
- National
- Journal
- International Journal of Imaging Systems and Technology
- Volume
- 35
- Issue
- 3
- Published
- 1 May 2025
- DOI
- 10.1002/ima.70119
- Scopus ID
- 105006589165
- ISSN
- 08999457
- Authors
- 2
- Open access
- Yes
- 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
Novel approach combining anisotropic median filtering with vision transformer for melanoma detection achieves 91% overall accuracy and 89% melanoma-specific accuracy, directly improving skin cancer diagnosis outcomes.
- 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
Computer vision and transformer architecture innovation for medical image analysis advances research capacity in AI-based diagnostic technologies.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Melanoma detection system enables early identification of skin cancer with clinically significant accuracy, improving patient outcomes and survival rates.
- 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. “Enhancing Melanoma Detection With Anisotropic Median Filtering and Multinomial Classification Vision Transformer”. Kortex.