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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2025

Ensemble-Based Methodology for Breast Cancer Detection

The record

Type
Publication
Date
1 January 2025
Level
National
Journal
Proceedings 2025 IEEE 3rd International Symposium on Sustainable Energy Signal Processing and Cybersecurity Isssc 2025
Published
1 January 2025
DOI
10.1109/isssc66652.2025.11388738
Scopus ID
105035033611
Authors
7
Open access
No
Citations
0
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    Develops ensemble-based machine learning methodology for accurate breast cancer detection from medical imaging using CNN, SVM, logistic regression and bagging techniques.

    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

  1. vb-1.2 Health and well-being

    Sub-themePrimaryHigh confidenceJudged

    Breast cancer detection ensemble models improve diagnostic accuracy and early cancer identification for treatment outcomes.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Ensemble-Based Methodology for Breast Cancer Detection”. Kortex.

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