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October 3, 2025Journal of Mechanics in Medicine and Biology

An Effective Vision Transformer-AIded Intelligent Efficientnet B7 With Adaptive Tumor Segmentation for Breast Cancer Diagnosis Using Thermography Images

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Authors

NVNirmala VenkatachalamLSLeninisha ShanmugamKRK. Revathi

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Overview

Novel deep learning approach improves breast cancer diagnosis through adaptive tumor segmentation and thermography images.

Key Points

  • The developed model enhances breast cancer diagnosis through improved segmentation.
  • It incorporates the vision transformer and EfficientNet B7 for accurate predictions.
  • Segmented images via adaptive fuzzy c mean clustering support timely tumor identification.
  • Utilizing thermography provides a cost-effective screening method for women of various ages.

Cite This Study

Venkatachalam et al. (2025) studied this question.

synapsesocial.com/papers/68e040e5a99c246f578b2ea0https://doi.org/10.1142/s0219519425500265
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  1. 1An Automated Thermography-Based Breast Cancer Detection and Localization System2024 · 2 citations
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  4. 4AN AUTOMATED BREAST CANCER DETECTION BY HEURISTIC-BASED ENSEMBLE DEEP CLASSIFIER USING MAMMOGRAM AND TOMOSYNTHESIS IMAGES2024 · 1 citations
  5. 5An innovative breast cancer detection framework using multiscale dilated densenet with attention mechanism2024