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Enhancing Breast Cancer Detection through Ultrasound Images using Convolutional Neural Networks (CNNs)
  • Dheiver Francisco Santos
Dheiver Francisco Santos

Corresponding Author:[email protected]

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This study showcases Convolutional Neural Networks’ (CNNs) potential in detecting breast cancer from ultrasound images. Impressive accuracy highlights their value in precise and efficient diagnosis, paving the way for further research. The CNN’s remarkable accuracy, even with a small dataset of 1,500 images, suggests enhanced performance with larger and diverse datasets. CNNs for breast cancer detection via ultrasound offer a promising, potent approach to revolutionize medical imaging and diagnosis, boosting accuracy and reliability.