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September 10, 2025Engineering Technology & Applied Science ResearchOpen Access

Early Breast Cancer Detection Using Deep Learning Classification

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Authors

AMAïcha Ben MiledCentre Oscar Lambret ACAdnane ChérifTunis University

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Implication

This approach demonstrates improved accuracy in detecting breast cancer in mammogram images, suggesting that deep learning can enhance screening efforts.

Key Points

The implementation achieved significant precision of 98% in detecting fine lesions.
The deep learning model processes mammogram images, improving accuracy compared to conventional methods.
Transfer learning and data augmentation techniques enhance the CNN's generalization capabilities.
The study emphasizes the importance of early detection to improve patient outcomes in breast cancer.

Cite This Study

Miled et al. (2025) studied this question.

synapsesocial.com/papers/68c1ac0954b1d3bfb60e49eb https://doi.org/10.48084/etasr.11030

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Implication

This approach demonstrates improved accuracy in detecting breast cancer in mammogram images, suggesting that deep learning can enhance screening efforts.

Early Breast Cancer Detection Using Deep Learning Classification

Discussion

Member takes

Implication

Key Points

Cite This Study

Early Breast Cancer Detection Using Deep Learning Classification

Discussion

Member takes

Implication

Key Points

Cite This Study

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