Publication2025
Deep Learning ResNet Model for Prostate Cancer Classification: A Comparative Study of CNNs
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Icoicc 2025 3rd International Conference on Intelligent and Cloud Computing
- Published
- 1 January 2025
- DOI
- 10.1109/icoicc64033.2025.11051365
- Scopus ID
- 105012126393
- Authors
- 7
- Open access
- No
- 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
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
ResNet deep learning for Gleason score prediction from prostate cancer MRI improves diagnostic accuracy and clinical decision support for cancer staging.
- 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
Viksit Bharat @2047
vb-1.2 Health and well-being
Cancer diagnostic AI and prostate disease detection support health outcome improvement and early intervention.
- 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 ResNet Model for Prostate Cancer Classification: A Comparative Study of CNNs”. Kortex.