Publication2025
Deep Learning-Based Convolutional Neural Networks for Automated Malaria Detection
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 2025 6th International Conference for Emerging Technology Incet 2025
- Published
- 1 January 2025
- DOI
- 10.1109/incet64471.2025.11140193
- Scopus ID
- 105016788015
- Authors
- 6
- Open access
- No
- Citations
- 3
- 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
3.3 End the epidemics of AIDS, tuberculosis, malaria, neglected tropical diseases, hepatitis and water-borne diseases
Deep learning-based CNN models for automated malaria detection from blood smear images enable rapid diagnostic screening, improving early disease detection and treatment access in resource-limited settings.
- 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 architecture optimization advances machine learning research for diagnostic imaging applications.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
AI diagnostic technology for malaria detection improves healthcare access and disease control in endemic regions.
- 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. “Deep Learning-Based Convolutional Neural Networks for Automated Malaria Detection”. Kortex.