Publication2025
Cancer Detection Framework using Cellular Automata based Segmentation and Deep Learning
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Baghdad Science Journal
- Volume
- 22
- Issue
- 6
- Pages
- 2119-2132
- Published
- 1 January 2025
- DOI
- 10.21123/2411-7986.4980
- Scopus ID
- 105009290397
- ISSN
- 20788665
- Authors
- 3
- Open access
- Yes
- 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 Ensure healthy lives and promote well-being for all at all ages
Cellular automata-based segmentation with deep learning detects brain, breast and lung tumors with higher accuracy than standard image sets.
- 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 image segmentation and CNN classification methodology advances cancer detection algorithm research.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
Early cancer detection framework supports diagnosis efficiency and improves patient treatment outcomes.
- 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Cancer Detection Framework using Cellular Automata based Segmentation and Deep Learning”. Kortex.