Publication2023
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- International — held abroad
- Journal
- IEEE Access
- Volume
- 11
- Pages
- 117741-117751
- Published
- 1 January 2023
- DOI
- 10.1109/access.2023.3325701
- Scopus ID
- 85174804855
- ISSN
- 21693536
- Authors
- 6
- Open access
- Yes
- Citations
- 81
- International co-authorship
- Yes
- Co-author countries
- AE, EG, 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
3 Ensure healthy lives and promote well-being for all at all ages
Autism spectrum disorder detection from MRI brain images using deep CNN achieves 99.83% accuracy through automated segmentation and classification.
- 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
Hybrid deep learning methodology integrating VGG-16 feature extraction with dwarf mongoose optimized ResNet represents research innovation in medical AI.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
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
vb-1.2 Health and well-being
Automated autism diagnosis supports early intervention and improves neurodevelopmental disorder identification for patient wellbeing.
- 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. “Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier”. Kortex.
