Publication2022
A deep autoencoder approach for detection of brain tumor images
The record
- Type
- Publication
- Date
- 1 September 2022
- Level
- National
- Journal
- Computers and Electrical Engineering
- Volume
- 102
- Published
- 1 September 2022
- DOI
- 10.1016/j.compeleceng.2022.108238
- Scopus ID
- 85134880936
- ISSN
- 00457906
- Authors
- 4
- Open access
- No
- Citations
- 55
- 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
Deep autoencoder with spectral data augmentation for brain tumor detection from MRI achieves 97% accuracy supporting early cancer diagnosis and treatment
- 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
Deep learning innovation for medical imaging research advances healthcare technology capability
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
AI-powered cancer detection technology directly supports health and well-being outcomes
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “A deep autoencoder approach for detection of brain tumor images”. Kortex.