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May 13, 2026International Journal of Innovative Research in Technology0 citationsOpen Access

Deep Learning and Federated Learning in breast cancer screening

MM.S.KEERTHIKAPP.PAVITHRAJJ.RESHMA

Key Points

  • The study aims to examine how deep learning and federated learning technologies can improve breast cancer screening methodologies.
  • Evaluation of teaching programs on waste management knowledge among a defined female population.
  • Implementation of deep learning and federated learning algorithms in screening processes.
  • Improvement in waste management knowledge post-intervention among participants.
  • Enhanced screening outcomes through the application of advanced learning technologies.

Abstract

Explore the article titled Deep Learning and Federated Learning in breast cancer screening from IJIRT Volume 12, Issue 12. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

M.S.KEERTHIKA et al. (2026) studied this question.

synapsesocial.com/papers/6a0414f679e20c90b4444cb6https://doi.org/10.64643/ijirtv12i12-201491-459
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Federated Learning- Based 3D Medical Image Compression2026
  2. 2Enhancing Breast Cancer Classification in Histopathological Images through Federated Learning Framework2024
  3. 3Privacy-Preserving Breast Cancer Classification: A Federated Transfer Learning Approach2024 · 51 citations
  4. 4Optimizing Breast Cancer Diagnosis with Advanced Deep Learning Techniques in Medical Imaging2024 · 1 citations
  5. 5Deep learning for breast cancer diagnosis: A bibliometric analysis and future research directions2024 · 6 citations